35 results on '"Mahmoud, Mohamed Metwally"'
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2. A review of water electrolysis for green hydrogen generation considering PV/wind/hybrid/hydropower/geothermal/tidal and wave/biogas energy systems, economic analysis, and its application
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Awad, Mohamed, Said, Abdelrahman, Saad, Mohamed H., Farouk, Amr, Mahmoud, Mohamed Metwally, Alshammari, Meshari S., Alghaythi, Mamdouh L., Abdel Aleem, Shady H.E., Abdelaziz, Almoataz Y., and Omar, Ahmed I.
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- 2024
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3. A combination of an OTC based MPPT and fuzzy logic current control for a wind-driven PMSG under variability of wind speed
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Mahmoud, Mohamed Metwally, Aly, Mohamed M., Salama, Hossam S., and Abdel-Rahim, Abdel-Moamen M.
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- 2022
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4. Application of Whale Optimization Technique for Evaluating the Performance of Wind-Driven PMSG Under Harsh Operating Events
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Mahmoud, Mohamed Metwally, Ratib, Mohamed Khalid, Aly, Mohamed M., and Abdel–Rahim, Abdel-Moamen M.
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- 2022
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5. Design, implementation, and experimental validation of a new low-cost sensorless wind turbine emulator: Applications for small-scale turbines.
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Alnami, Hashim, Ardjoun, Sid Ahmed El Mehdi, and Mahmoud, Mohamed Metwally
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RENEWABLE energy sources ,WIND power ,WIND turbines ,WIND speed ,FOSSIL fuels - Abstract
Research and investigation into renewable energy sources is being sparked by the rapidly rising need for electricity, higher costs of fossil fuels, and increasing worries about the environment. Recent years have seen a tremendous increase in the use of wind energy (WE). In-depth study has been done to effectively produce power from WE. Nevertheless, it is exceedingly challenging and dangerous to set up wind turbines (WTs) for research and teaching uses due to constraints like space and upkeep. Numerous benefits come with a lab-scale WT emulator (WTE), such as freedom from space restrictions, an improved level of control, and independence from existing weather conditions. The design and execution of a low-power, lab-scale WTE are the focus of this study. The investigated experimental configuration is intended to precisely mimic the mechanical behavior of a real WT. Aerodynamics, blades, slow shafts, gearboxes, and controller elements, for example, are modeled in MATLAB/Simulink before they are assembled and implemented on a dSPACE 1104 board. A DC motor running under buck converter control is used to substitute the quick shaft. The WTE's functionality is evaluated in various wind speed conditions. The findings of comparing the WTE's dynamics with those offered by the manufacturer amply show the efficacy of the proposed WTE and its capacity to take the position of an actual WT. This paper will be a useful resource for investigators in helping them select the best WTE approach for their purposes. [ABSTRACT FROM AUTHOR]
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- 2024
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6. The Mathematical Modeling, Diffusivity, Energy, and Enviro-Economic Analysis (MD3E) of an Automatic Solar Dryer for Drying Date Fruits.
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Metwally, Khaled A., Oraiath, Awad Ali Tayoush, Elzein, I. M., El-Messery, Tamer M., Nyambe, Claude, Mahmoud, Mohamed Metwally, Abdeen, Mohamed Anwer, Telba, Ahmad A., Khaled, Usama, Beroual, Abderrahmane, and Elwakeel, Abdallah Elshawadfy
- Abstract
Date fruit drying is a process that consumes a significant amount of energy due to the long duration required for drying. To better understand how moisture flows through the fruit during drying and to speed up this process, drying studies must be conducted in conjunction with mathematical modeling, energy analysis, and environmental economic analysis. In this study, twelve thin-layer mathematical models were designed utilizing experimental data for three different date fruit varieties (Sakkoti, Malkabii, and Gondaila) and two solar drying systems (automated solar dryer and open-air dryer). These models were then validated using statistical analysis. The drying period for the date fruit varieties varied between 9 and 10 days for the automated solar dryer and 14 to 15 days for open-air drying. The moisture diffusivity coefficient values, determined using Fick's second law of diffusion model, ranged from 7.14 × 10
−12 m2 /s to 2.17 × 10−11 m2 /s. Among the twelve thin-layer mathematical models, we chose the best thin drying model based on a higher R2 and lower χ2 and RMSE. The Two-term and Modified Page III models delivered the best moisture ratio projections for date fruit dried in an open-air dryer. For date fruit dried in an automated solar dryer, the Two-term Exponential, Newton (Lewis), Approximation diffusion or Diffusion Method, and Two-term Exponential modeling provided the best moisture ratio projections. The energy and environmental study found that the particular amount of energy used varied from 17.936 to 22.746 kWh/kg, the energy payback time was 7.54 to 7.71 years, and the net CO2 mitigation throughout the lifespan ranged from 8.55 to 8.80 tons. Furthermore, economic research showed that the automated solar dryer's payback period would be 2.476 years. [ABSTRACT FROM AUTHOR]- Published
- 2024
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7. Adaptive Load Frequency Control in Microgrids Considering PV Sources and EVs Impacts: Applications of Hybrid Sine Cosine Optimizer and Balloon Effect Identifier Algorithms.
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Hassan, Ahmed Tawfik, Banakhr, Fahd A., Mahmoud, Mohamed Metwally, Mosaad, Mohamed I., Rashwan, Asmaa Fawzy, Mosa, Mohamed Roshdi, Hussein, Mahmoud M., and Mohamed, Tarek Hassan
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MICROGRIDS ,FREQUENCY stability ,ELECTRIC vehicles ,ROBUST control ,ENERGY management - Abstract
The negative impacts of microgrids (µGs) on the load frequency highlight the importance of implementing a robust, efficient, and adaptable controller to ensure stability. This work introduces an adaptive load frequency control (LFC) for an isolated µG that includes a PV system and electric vehicles (EVs), which have a significant impact on frequency. This control utilizes a combination of sine cosine optimization (SCO) and balloon effect identifier (BEI) algorithms. The controller presented in this work transforms the LFC process into an optimization problem that is highly compatible with various random situations encountered in the control process. The suggested control method is a novel approach by utilizing SCO+BEI for adaptive LFC application, resulting in a highly efficient response. The effectiveness of the proposed adaptive controller is assessed under the conditions of 17 MW variable load, system parameters uncertainties, and installed PV systems of 6 MW. MATLAB / Simulink package is rummage-sale as a digital test environment. According to simulation results, the proposed adaptive controller succeeds in regulating the frequency and power of an islanded µG. To measure the efficiency of the proposed control scheme, a comparison between other control techniques (such as adaptive controller using Jaya+BEI and classical integral controller) is done. The findings of the studied scenarios assured that the not compulsory control method using (SCO+BEI) has an obvious superiority over other control methods in terms of frequency solidity in case of random load instabilities and parameter uncertainties. Finally, it can be said that the proposed controller can better ensure the safe operation of the µGs. [ABSTRACT FROM AUTHOR]
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- 2024
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8. A Combination of INC and Fuzzy Logic-Based Variable Step Size for Enhancing MPPT of PV Systems.
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Lamine, Ouassa Mohammed, Bessous, Noureddine, Abdelhalim, Borni, Banakhr, Fahd A., Mosaad, Mohamed I., Oussama, Mammeri, and Mahmoud, Mohamed Metwally
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PHOTOVOLTAIC cells ,ENERGY conversion ,ENVIRONMENTALISM ,PHOTOVOLTAIC power systems ,GLOBAL environmental change - Abstract
The significance of using the variable step Incremental Conductance (INC) technique in Maximum Power Point monitoring (MPPT) of photovoltaic (PV) systems resides in its capacity to improve the efficiency of energy conversion. This is accomplished through the constant measurement and comparison of incremental changes in current and voltage, precisely monitoring the maximum power point amidst changing environmental conditions. This traditional INC-MPPT approach has two primary disadvantages. Initially, it employs a predetermined scaling factor that necessitates human adjustment. Furthermore, it adjusts the inclination of the PV characteristics curve to modify the step size. This implies that even little changes in PV module voltage will have a substantial impact on the total step size. As a result, it shifts the operating point away from the intended reference maximum power point. The objective of this work is to improve the efficiency of traditional INC by overcoming the constraints associated with step size modifications. This is achieved by using a fuzzy logic (FL) technique to adjust the step size adaptively in response to environmental changes. The presented INC-FL-MPPT successfully achieves MPPT for a PV system under enhanced steady-state and transientstate settings. The results demonstrate the superiority of the suggested approach compared to three distinct MPPT strategies, namely Perturb and Observe (P&O), Classical INC, and P&O-FL technique. [ABSTRACT FROM AUTHOR]
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- 2024
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9. Applications of Kepler Algorithm-Based Controller for DC Chopper: Towards Stabilizing Wind Driven PMSGs under Nonstandard Voltages.
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Atia, Basiony Shehata, Mahmoud, Mohamed Metwally, Elzein, I. M., Mohamed Abdel-Rahim, Abdel-Moamen, Alkuhayli, Abdulaziz, Khaled, Usama, Beroual, Abderrahmane, and Shaaban, Salma Abdelaal
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An optimization technique, the Kepler optimizer (KO), is presented to enable permanent magnet synchronous wind generators (PMSWG) to run safely under faults and to accomplish the goal of low-carbon efficient power delivery and sustainable development. Utility companies are struggling, which is preventing the increase in wind penetration, in spite of the grid incorporation of PMSWG. One of these undisputed concerns is the grid-side voltage dip (VD) and swell (VS) at the PCC. Converters and DCL capacitors are particularly vulnerable to PCC nonstandard voltages because of an imbalance in the DCL input–output powers. Because of this, it is essential to provide WF-GCs to support grid operations, and developing techniques to realize FRTCs has become a crucial GC need. Installing an industrial braking chopper (BC) across the DCL is the suggested technique, due to its effectiveness and low price. In addition, a new KO-based control system for BC is used to enhance its effectiveness. Four situations were examined to assess and analyze the proposed control system regarding the transient response of the system. These situations exposed the investigated system to an irregular grid condition: without BC, with BC controlled by a hysteresis controller, and with BC controlled by KO-based PI (proposed) at (a) 100% VD, (b) 70% VD, (c) 30% VD, and (d) 20% VS. To verify the advantages and efficacy of the suggested control systems in the examined circumstances, MATLAB/SIMULINK was utilized. The simulation findings confirmed the feasibility of the suggested system as a whole and the control structures in suppression of all parameter transient changes, while also achieving FRTC. Furthermore, maintaining a steady DCL voltage serves as an advantage that would lengthen the electrical converters' lifetime and shorten the time that the unit would be turned off if it happens to fail. [ABSTRACT FROM AUTHOR]
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- 2024
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10. A new automatic sugarcane seed cutting machine based on internet of things technology and RGB color sensor.
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Yang, Liu, Nasrat, Loai S., Badawy, Mohamed E., Mbadjoun Wapet, Daniel Eutyche, Ourapi, Manar A., El-Messery, Tamer M., Aleksandrova, Irina, Mahmoud, Mohamed Metwally, Hussein, Mahmoud M., and Elwakeel, Abdallah E.
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CUTTING machines ,INTERNET of things ,AUTOMATIC identification ,SEEDS ,SUGARCANE ,SCANNING systems - Abstract
Egypt is among the world's largest producers of sugarcane. This crop is of great economic importance in the country, as it serves as a primary source of sugar, a vital strategic material. The pre-cutting planting mode is the most used technique for cultivating sugarcane in Egypt. However, this method is plagued by several issues that adversely affect the quality of the crop. A proposed solution to these problems is the implementation of a sugarcane-seed-cutting device, which incorporates automatic identification technology for optimal efficiency. The aim is to enhance the cutting quality and efficiency of the pre-cutting planting mode of sugarcane. The developed machine consists of a feeding system, a node scanning and detection system, a node cutting system, a sugarcane seed counting and monitoring system, and a control system. The current research aims to study the pulse widths (PW) of three-color channels (R, G, and B) of the RGB color sensors under laboratory conditions. The output PW of red, green, and blue channel values were recorded at three color types for hand-colored nodes [black, red, and blue], three speeds of the feeding system [7.5 m/min, 5 m/min, and 4.3 m/min], three installing heights of the RGB color sensors [2.0 cm, 3.0 cm, and 4.0 cm], and three widths of the colored line [10.0 mm, 7.0 mm, and 3.0 mm]. The laboratory test results s to identify hand-colored sugarcane nodes showed that the recognition rate ranged from 95% to 100% and the average scanning time ranged from 1.0 s to 1.75 s. The capacity of the developed machine ranged up to 1200 seeds per hour. The highest performance of the developed machine was 100% when using hand-colored sugarcane stalks with a 10 mm blue color line and installing the RGB color sensor at 2.0 cm in height, as well as increasing the speed of the feeding system to 7.5 m/min. The use of IoT and RGB color sensors has made it possible to get analytical indicators like those achieved with other automatic systems for cutting sugar cane seeds without requiring the use of computers or expensive, fast industrial cameras for image processing. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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11. Enhancing electric vehicle charging performance through series-series topology resonance-coupled wireless power transfer.
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Benalia, Nadir, Benlaloui, Idriss, Laroussi, Kouider, Elkhateb, Ahmad, Mbadjoun Wapet, Daniel Eutyche, Hassan, Ammar M., and Mahmoud, Mohamed Metwally
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WIRELESS power transmission ,ELECTRIC charge ,ELECTRIC vehicles ,ELECTRIC currents ,MUTUAL inductance ,MAGNETIC shielding ,MAGNETIC fields - Abstract
The current electric vehicles (EVs) market is experiencing significant expansion, underscoring the need to address challenges associated with the limited driving range of EVs. A primary focus in this context is the improvement of the wireless charging process. To contribute to this research area, this study introduces a circular spiral coil design that incorporates transceiver coils. First, an in-depth analysis is conducted using Ansys Maxwell software to assess the effectiveness of the proposed solution through the magnetic field distribution, inductance properties, and mutual inductance between receiver and transmitter coils. In the next step, a direct shielding technique is applied, integrating a ferrite core bar to reduce power leakage and enhance power transmission efficiency. The ferrite magnetic shielding guides magnetic field lines, resulting in a significant reduction in flux leakage and improved power transmission. Lastly, a magnetic resonance series (SS) compensation wireless system is developed to achieve high coupling efficiency and superior performance. The system's effectiveness is evaluated through co-simulation using Ansys Simplorer software. The results confirm the effectiveness of the proposed solution, showing its ability to transmit 3.6 kilowatts with a success rate approaching 99%. This contribution significantly advances the development of wireless charging systems for electric vehicles, addressing concerns and promoting global adoption. [ABSTRACT FROM AUTHOR]
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- 2024
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12. A Techno-Economic-Environmental Feasibility Study of Residential Solar Photovoltaic/Biomass Power Generation for Rural Electrification: A Real Case Study.
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Kassem, Rasha, Mahmoud, Mohamed Metwally, Ibrahim, Nagwa F., Alkuhayli, Abdulaziz, Khaled, Usama, Beroual, Abderrahmane, and Saleeb, Hedra
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To avert climate change, there has been a rise in the usage of green energy sources that are also beneficial to the environment. To generate sustainable energy in a financially and technically efficient manner, our research attempts to close the gaps. The potential of green sources like photovoltaic (PV) and biomass for a rural community southwest of Sohag Al Gadida City, Sohag, Egypt, is examined in this research considering its techno-economic (TE) and eco-friendly feasibility. The HOMER Pro v3.14 package is used as a scaling and optimization instrument, to calculate the price of the PV/biomass setup and the size and characteristics of its parts. This is to estimate the corresponding electrical production and reduce the total annual cost for the customer. The suggested system structure is validated through the presentation of simulation outcomes and evaluations utilizing MATLAB/SIMULINK R2022a. In addition, a TE-environmental investigation of the optimized PV/biomass structure is performed. The optimum structure is carefully chosen from the best four configurations using the demand predilection by analogy to the perfect technique based on the generation cost, operation cost, energy production, and renewable fraction. The results also indicate that using hybrid PV/biomass is an attractive choice with the initial capital cost (ICC: USD 8.144), net present cost (NPC: USD 11,026), a low cost of energy (LCOE: 0.184 USD/kWh), and the high renewable fraction (RF: 99.9%) of the system. The annual CO
2 emission performance of a PV/biomass system is much better than that of the grid alone and PV/diesel. This method might be applied in rural areas in other developing countries. [ABSTRACT FROM AUTHOR]- Published
- 2024
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13. Optimal controller design for reactor core power stabilization in a pressurized water reactor: Applications of gold rush algorithm.
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Abdelfattah, H, Esmail, M, kotb, Said A., Mahmoud, Mohamed Metwally, Hussein, Hany S., Mbadjoun Wapet, Daniel Eutyche, Omar, Ahmed I., and Ewais, Ahmed M.
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NUCLEAR reactor cores ,PRESSURIZED water reactors ,OPTIMIZATION algorithms ,CONTROL elements (Nuclear reactors) ,NUCLEAR energy ,RENEWABLE energy transition (Government policy) - Abstract
Nuclear energy (NE) is seen as a reliable choice for ensuring the security of the world's energy supply, and it has only lately begun to be advocated as a strategy for reducing climate change in order to meet low-carbon energy transition goals. To achieve flexible operation across a wide operating range when it participates in peak regulation in the power systems, the pressurised water reactor (PWR) NE systems must overcome the nonlinearity problem induced by the substantial variation. In light of this viewpoint, the objective of this work is to evaluate the reactor core (main component) of the NE system via different recent optimization techniques. The PWR, which is the most common form, is the reactor under investigation. For controlling the movement of control rods that correspond with reactivity for power regulation the PWR, PID controller is employed. This study presents a dynamic model of the PWR, which includes the reactor core, the upper and lower plenums, and the piping that connects the reactor core to the steam alternator is analyzed and investigated. The PWR dynamic model is controlled by a PID controller optimized by the gold rush optimizer (GRO) built on the integration of the time-weighted square error performance indicator. Additionally, to exhibit the efficacy of the presented GRO, the dragonfly approach, Arithmetic algorithm, and planet optimization algorithm are used to adjust the PID controller parameters. Furthermore, a comparison among the optimized PID gains with the applied algorithms shows great accuracy, efficacy, and effectiveness of the proposed GRO. MATLAB\ Simulink program is used to model and simulate the system components and the applied algorithms. The simulation findings demonstrate that the suggested optimized PID control strategy has superior efficiency and resilience in terms of less overshoot and settling time. [ABSTRACT FROM AUTHOR]
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- 2024
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14. Extended Kalman Filter design for sensorless sliding mode predictive control of induction motors without weighting factor: An experimental investigation.
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Chebaani, Mohamed, Mahmoud, Mohamed Metwally, Tazay, Ahmad F., Mosaad, Mohamed I., and Nouraldin, Noura A.
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SLIDING mode control , *INDUCTION motors , *KALMAN filtering , *TORQUE control , *REACTIVE flow , *DC-AC converters - Abstract
Due to their simplicity, cheapness, and ease of maintenance, induction motors (IMs) are the most widely used motors in the industry. However, if they are not properly controlled, the load torque and motor speed will fluctuate in an unsatisfactory fashion. To effectively control the load torque and speed of these IMs, it is necessary to use specialized drives. The entire system (IMs + Drives) will experience uncertainty, nonlinearities, and disruptions, which calls for an outstanding performance control structure. The sensorless sliding mode predictive torque control (SSM-PTC) for both AC-DC converter and DC-AC inverter, which are utilized for feeding the IM, is investigated in this work. The AC-DC converter is controlled using the SSM-PTC method in order to follow the DC-link reference voltage throughout any changes in the operating point of the IM. While the DC-AC inverter is controlled using a sensorless predictive power control (SPPC). Within a unity power factor, this SPPC regulates the reactive power flow between the motor and the supply to account for the undesirable harmonic components of the grid current. In addition, an experimental performance improvement of SSM-PTC of IM supplied by a 5-leg AC-DC-AC power converter using extended Kalman filter (EKF) without weighting factor (WF) is also studied in this work. Design and implantation of the suggested control systems are performed using a dSPACE 1104 card. The experimental results of the proposed converter control demonstrate that the suggested approach effectively regulated the DC link, reducing load torque and speed fluctuations. In the context of inverter control, a prompt active power response yields a motor current waveform that resembles a sinusoidal pattern, exhibiting minimal levels of harmonic distortion. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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15. A new adaptive MPPT technique using an improved INC algorithm supported by fuzzy self-tuning controller for a grid-linked photovoltaic system.
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Ibrahim, Nagwa F., Mahmoud, Mohamed Metwally, Alnami, Hashim, Mbadjoun Wapet, Daniel Eutyche, Ardjoun, Sid Ahmed El Mehdi, Mosaad, Mohamed I., Hassan, Ammar M., and Abdelfattah, H.
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PHOTOVOLTAIC power systems , *SELF-tuning controllers , *MAXIMUM power point trackers , *FUZZY algorithms , *RENEWABLE natural resources , *SOLAR energy , *PID controllers - Abstract
Solar energy, a prominent renewable resource, relies on photovoltaic systems (PVS) to capture energy efficiently. The challenge lies in maximizing power generation, which fluctuates due to changing environmental conditions like irradiance and temperature. Maximum Power Point Tracking (MPPT) techniques have been developed to optimize PVS output. Among these, the incremental conductance (INC) method is widely recognized. However, adapting INC to varying environmental conditions remains a challenge. This study introduces an innovative approach to adaptive MPPT for grid-connected PVS, enhancing classical INC by integrating a PID controller updated through a fuzzy self-tuning controller (INC-FST). INC-FST dynamically regulates the boost converter signal, connecting the PVS's DC output to the grid-connected inverter. A comprehensive evaluation, comparing the proposed adaptive MPPT technique (INC-FST) with conventional MPPT methods such as INC, Perturb & Observe (P&O), and INC Fuzzy Logic (INC-FL), was conducted. Metrics assessed include current, voltage, efficiency, power, and DC bus voltage under different climate scenarios. The proposed MPPT-INC-FST algorithm demonstrated superior efficiency, achieving 99.80%, 99.76%, and 99.73% for three distinct climate scenarios. Furthermore, the comparative analysis highlighted its precision in terms of control indices, minimizing overshoot, reducing rise time, and maximizing PVS power output. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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16. Advanced load frequency control of microgrid using a bat algorithm supported by a balloon effect identifier in the presence of photovoltaic power source.
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Ewias, Ahmed M., Hakmi, Sultan H., Mohamed, Tarek Hassan, Mahmoud, Mohamed Metwally, Eid, Ahmad, Abdelaziz, Almoataz Y., and Dahab, Yasser Ahmed
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MICROGRIDS ,CLEAN energy ,SOFT computing ,FREQUENCY stability ,ALGORITHMS ,MAXIMUM power point trackers ,ARTIFICIAL pancreases - Abstract
Due to the unpredictability of the majority of green energy sources (GESs), particularly in microgrids (μGs), frequency deviations are unavoidable. These factors include solar irradiance, wind disturbances, and parametric uncertainty, all of which have a substantial impact on the system's frequency. An adaptive load frequency control (LFC) method for power systems is suggested in this paper to mitigate the aforementioned issues. For engineering challenges, soft computing methods like the bat algorithm (BA), where it proves its effectiveness in different applications, consistently produce positive outcomes, so it is used to address the LFC issue. For online gain tuning, an integral controller using an artificial BA is utilized, and this control method is supported by a modification known as the balloon effect (BE) identifier. Stability and robustness of analysis of the suggested BA+BE scheme is investigated. The system with the proposed adaptive frequency controller is evaluated in the case of step/random load demand. In addition, high penetrations of photovoltaic (PV) sources are considered. The standard integral controller and Jaya+BE, two more optimization techniques, have been compared with the suggested BA+BE strategy. According to the results of the MATLAB simulation, the suggested technique (BA+BE) has a significant advantage over other techniques in terms of maintaining frequency stability in the presence of step/random disturbances and PV source. The suggested method successfully keeps the frequency steady over I and Jaya+BE by 61.5% and 31.25%, respectively. In order to validate the MATLAB simulation results, real-time simulation tests are given utilizing a PC and a QUARC pid_e data acquisition card. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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17. Design and Implementation of a PV-Integrated Solar Dryer Based on Internet of Things and Date Fruit Quality Monitoring and Control.
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Elwakeel, Abdallah Elshawadfy, Wapet, Daniel Eutyche Mbadjoun, Mahmoud, Wael Abou El-magd, Abdallah, Said Elshahat, Mahmoud, Mohamed Metwally, Ardjoun, Sid Ahmed El Mehdi, and Tantawy, Aml Abubakr
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FRUIT drying ,DATES (Fruit) ,SOLAR dryers ,ONLINE dating ,FRUIT quality ,QUALITY control - Abstract
In Egypt, the climate has a direct impact on the dried date fruit production. The traditional drying method or open sun drying (OSD) leads to pollution of the final product caused by sand-laden winds, rain, or animals and harmful insects, etc. This study is aimed at designing, implementing, and experimentally validating a solar dryer based on IoT technology and integrated with a PV system in Aswan, Egypt. The purpose of the dryer is to monitor and control the quality of the three most popular date fruit varieties and determine the most effective drying method, with an algorithm that operates the system automatically for optimal performance and high-quality products. The automatic solar dryer (ASD) significantly affects the final moisture content and color characteristics and reaches the equilibrium moisture content (EMC) at a faster rate for dried date samples compared to the OSD. The drying rate of ASD was 29.03% (Sakkoti), 31.04% (Malkabi), and 25.49% (Gondaila) higher than OSD. Also, the dried date fruit samples reached EMC on the ASD after 8 days for both Malkabi and Gondaila and 9 days for Sakkoti, while it took 14 to 15 days on OSD. The maximum open circuit voltage V oc , short circuit current I sc , and output power P output were 41.70 V, 8.84 A, and 365.09 W, respectively. All values of total color change ( Δ E ∗ ) after open-air drying of dry date varieties were higher than solar drying for both drying systems. This study can be then more helpful for producers of dried foods. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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18. Multiport Converter Utility Interface with a High-Frequency Link for Interfacing Clean Energy Sources (PV\Wind\Fuel Cell) and Battery to the Power System: Application of the HHA Algorithm.
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Ibrahim, Nagwa F., Ardjoun, Sid Ahmed El Mehdi, Alharbi, Mohammed, Alkuhayli, Abdulaziz, Abuagreb, Mohamed, Khaled, Usama, and Mahmoud, Mohamed Metwally
- Abstract
The integration of clean energy sources (CESs) into modern power systems has been studied using various power converter topologies. The challenges of integrating various CESs are facilitated by the proper design of multi-port power converter (MPPC) architecture. In this study, a brand-new two-stage MPPC is suggested as a solution to the intermittent nature and slow response (SR) of CESs. The suggested system combines a DC\DC and a DC\AC converter and storage unit, and the suggested circuit additionally incorporates a number of CESs (PV\wind\fuel cell (FC)). This article discusses the power management and control technique for an integrated four-port MPPC that links three input ports (PV, wind, and FC), a bidirectional battery port, and an isolated output port. One of the recent optimization techniques (Harris Hawk's algorithm) is applied to optimize the system's controller gains. By intelligently combining CESs with complementary characteristics, the adverse effects of intermittency are significantly mitigated, leading to an overall enhancement in system resilience and efficiency. Furthermore, integrating CESs with storage units not only addresses SR challenges but also effectively combats intermittent energy supply. The proposed system exhibits improved dynamic capabilities, allowing it to efficiently distribute excess energy to the load or absorb surplus energy from external sources. This dual functionality not only optimizes system operation but also contributes to a reduction in system size and cost, concurrently enhancing reliability. A comprehensive investigation into operational principles and meticulous design considerations are provided, elucidating the intricate mechanics of the suggested MPPC system. Employing MATLAB/Simulink, the proposed architecture and its control mechanisms undergo rigorous evaluation, affirming the feasibility and efficacy of this innovative system. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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19. Regulation of multi-area power system load frequency in presence of V2G scheme.
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Hussein, Mahmoud M., Mohamed, Tarek Hassan, Mahmoud, Mohamed Metwally, Aljohania, Mansour, Mosaad, Mohamed I., and Hassan, Ammar M.
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PHOTOVOLTAIC power systems ,IMPACT loads ,ELECTRIC vehicle charging stations ,ELECTRIC power - Abstract
The integration of renewable sources (RSs) and the widespread deployment of electric vehicles (EVs) has transitioned from a luxury to a necessity in modern power systems. This results from the sharp increase in electric power demand and public awareness of switching to green energy. However, in addition to load fluctuations and changes in system parameters, these RSs and EVs negatively impact the load frequency (LF). This work presents a LF control for a modern multi-area power system incorporating photovoltaic (PV) and EV chargers. The proposed controller primarily utilizes EV chargers within modern power systems. This approach offers the advantage of using the already present components instead of introducing new ones. The proposed controller comprises the ecological optimization approach (ECO) and the integral controller (I). Both of these components are designed for autonomous vehicle-to-grid (V2G) devices. The proposed control technique is applied to a three-area power system, where the V2G scheme is located in Area-1. Variations in the load, PV power generated, and system parameters are considered to evaluate the effectiveness of the proposed (I+ECO+V2G) controller for controlling the LF. To assess the performance of the proposed I+ECO+V2G system, a comparative analysis is conducted to compare its performance with both the I+ECO system and the standard I-controller. The simulation findings demonstrate that implementing the I+ECO and the proposed I+ECO+V2G strategies results in enhanced system stability and decreased LF fluctuations compared to the conventional I-control approach. Furthermore, while comparing the I+ECO control technique to the suggested control strategy I+ECO+V2G, it was seen that the latter reaches steady state values more quickly. The results validate the robustness and effectiveness of the proposed controller in mitigating the impacts of load disturbances, uncertainties, and nonlinearities within the system. These simulations were performed using MATLAB/SIMULINK. To validate the outcomes of the simulation results, an experimental setup consisting of a real-time dSPACE DS1103 connected to another PC via QUARC pid_e data acquisition card was used. The experimental findings have substantiated the accuracy of the simulation findings about the superiority of the I+ECO+V2G methodology compared to both the I+ECO and I-control methodologies concerning system performance and LF control. [ABSTRACT FROM AUTHOR]
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- 2023
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20. Evaluation and Comparison of Different Methods for Improving Fault Ride-Through Capability in Grid-Tied Permanent Magnet Synchronous Wind Generators
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Mahmoud, Mohamed Metwally, Atia, Basiony S., Esmail, Yahia M., Bajaj, Mohit, Mbadjoun Wapet, Daniel Eutyche, Ratib, Mohamed Khalid, Biplob Hossain, Md., AboRas, Kareem M., and Abdel-Rahim, Abdel-Moamen M.
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Article Subject - Abstract
Several advantages make wind-driven permanent magnet synchronous generators (PMSGs) very promising in the wind energy market, especially their fault ride-through capabilities. With the high penetration levels of today, both the grid and wind power (WP) systems are being affected by each other. Due to grid faults, the DC-bus in PMSG systems typically experiences overvoltage, which can negatively affect the generator parameters and trip the system. However, advancements in power electronics, control systems, fault limiters, FACTS, and energy storage technology make it possible to find and design satisfactory solutions and approaches. The most recent FRTC-improving techniques are mainly modified or external techniques based on controllers in PMSG-based WP. This paper evaluates the in-depth schemes of FRTC, introducing the underlying theory and traits of the different approaches to highlight the advantages and drawbacks of each. Five scenarios of DC-link voltage under zero-grid voltage are carried out by using the MATLAB SIMULINK program to assess the FRTC methods. This study shows that external device-based approaches can be efficient, but some of them are expensive, thus updated controller methods are recommended to cut costs. Research findings of this study are expected to support the deployment of FRTC technologies, as well as provide valuable input into WP research on grid integration.
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- 2023
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21. Experimental Investigation of Different Extraction Methods for Producing Biofuel from Jatropha Seeds and Castor Seeds
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Khalaf, Mohammed, Abdel-Fadeel, Waleed, Hashish, H. M. Abu, Wapet, Daniel Eutyche Mbadjoun, Mahmoud, Mohamed Metwally, Elhady, Salama Abd, and Esmail, Mohamed F. C.
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While energy production is highly dependent on fossil fuels, which consider the main source of global warming, biofuels would play a significant impact in diminishing such warming. In this paper, biooils were extracted from inedible seeds (Jatropha and Castor) using different continuous devices (solvents, screw presses, and hydraulic press-machines), aiming to achieve the highest oil’s yield of improved extraction properties at reduced time and energy. A wide range of engine speeds of 35, 60, 85, 110, and 135 rpm and preheating temperatures of 100, 125, 150, 175, 200, and 250°C were extensively studied to find their impact on the extraction properties. Results proved the ability of the screw press machine to extract the highest biooil yields from Jatropha and castor seeds. The optimum yield of Jatropha and castor were achieved at an extraction temperature range of 150-175°C at a motor speed of 135 rpm and a temperature range of 200-250°C at a motor speed of 35 rpm, respectively. Noteworthy, the yield of extracted castor oil is potentially solidified at low temperatures
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- 2023
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22. Enhancing the Functionality of a Grid-Connected Photovoltaic System in a Distant Egyptian Region Using an Optimized Dynamic Voltage Restorer: Application of Artificial Rabbits Optimization.
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Ibrahim, Nagwa F., Alkuhayli, Abdulaziz, Beroual, Abderrahmane, Khaled, Usama, and Mahmoud, Mohamed Metwally
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PHOTOVOLTAIC power systems ,VOLTAGE ,ELECTRIC power distribution grids ,MATHEMATICAL optimization ,PHOTOVOLTAIC power generation ,FAULT currents - Abstract
Photovoltaic (PV) systems are crucial to the production of electricity for a newly established community in Egypt, especially in grid-tied systems. Power quality (PQ) issues appear as a result of PV connection with the power grid (PG). PQ problems cause the PG to experience faults and harmonics, which affect consumers. A series compensator dynamic voltage restorer (DVR) is the most affordable option for resolving the abovementioned PQ problems. To address PQ difficulties, this paper describes a grid-tied PV combined with a DVR that uses a rotating dq reference frame (dqRF) controller. The main goal of this study is to apply and construct an effective PI controller for a DVR to mitigate PQ problems. The artificial rabbits optimization (ARO) is used to obtain the best tune of the PI controller. The obtained results are compared with five optimization techniques (L-SHADE, CMAES, WOA, PSO, and GWO) to show its impact and effectiveness. Additionally, Lyapunov's function is used to analyze and evaluate the proposed controller stability. Also, a mathematical analysis of the investigated PV, boost converter, and rotating dqRF control is performed. Two fault test scenarios are examined to confirm the efficacy of the suggested control approach. The parameters' (voltage, current, and power) waveforms for the suggested system are improved, and the system is kept running continuously under fault periods, which improves the performance of the system. Moreover, the findings demonstrate that the presented design successfully keeps the voltage at the required level with low THD% values at the load side according to the IEEE standards and displays a clear enhancement in voltage waveforms. The MATLAB/SIMULINK software is used to confirm the proposed system's performance. [ABSTRACT FROM AUTHOR]
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- 2023
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23. Design and analysis of photovoltaic/wind operations at MPPT for hydrogen production using a PEM electrolyzer: Towards innovations in green technology.
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Awad, Mohamed, Mahmoud, Mohamed Metwally, Elbarbary, Z. M. S., Mohamed Ali, Loai, Fahmy, Shazly Nasser, and Omar, Ahmed I.
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HYDROGEN production , *GREEN technology , *INTERSTITIAL hydrogen generation , *PHOTOVOLTAIC power systems , *POLYMERIC membranes , *POLYELECTROLYTES - Abstract
In recent times, renewable energy systems (RESs) such as Photovoltaic (PV) and wind turbine (WT) are being employed to produce hydrogen. This paper aims to compare the efficiency and performance of PV and WT as sources of RESs to power polymer electrolyte membrane electrolyzer (PEMEL) under different conditions. The study assessed the input/output power of PV and WT, the efficiency of the MPPT controller, the calculation of the green hydrogen production rate, and the efficiency of each system separately. The study analyzed variable irradiance from 600 to 1000 W/m2 for a PV system and a fixed temperature of 25°C, while for the WT system, it considered variable wind speed from 10 to 14 m/s and zero fixed pitch angle. The study demonstrated that the applied controllers were effective, fast, low computational, and highly accurate. The obtained results showed that WT produces twice the PEMEL capacity, while the PV system is designed to be equal to the PEMEL capacity. The study serves as a reference for designing PV or WT to feed an electrolyzer. The MATLAB program validated the proposed configurations with their control schemes. [ABSTRACT FROM AUTHOR]
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- 2023
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24. Application of Whale Optimization Algorithm Based FOPI Controllers for STATCOM and UPQC to Mitigate Harmonics and Voltage Instability in Modern Distribution Power Grids.
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Mahmoud, Mohamed Metwally, Atia, Basiony Shehata, Esmail, Yahia M., Ardjoun, Sid Ahmed El Mehdi, Anwer, Noha, Omar, Ahmed I., Alsaif, Faisal, Alsulamy, Sager, and Mohamed, Shazly A.
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METAHEURISTIC algorithms , *ELECTRIC power distribution grids , *VOLTAGE , *RELIABILITY in engineering , *HARMONIC distortion (Physics) , *RENEWABLE energy sources - Abstract
In recent modern power systems, the number of renewable energy systems (RESs) and nonlinear loads have become more prevalent. When these systems are connected to the electricity grid, they may face new difficulties and issues such as harmonics and non-standard voltage. The proposed study suggests the application of a whale optimization algorithm (WOA) based on a fractional-order proportional-integral controller (FOPIC) for unified power quality conditioner (UPQC) and STATCOM tools. These operate best with the help of their improved control system, to increase the system's reliability and fast dynamic response, and to decrease the total harmonic distortion (THD) for enhancing the power quality (PQ). In this article, three different configurations are studied and assessed, namely: (C1) WOA-based FOPIC for UPQC, (C2) WOA-based FOPIC for STATCOM, and (C3) system without FACTS, i.e., base case, to mitigate the mentioned drawbacks. C3 is also considered as a base case to highlight the main benefits of C1 and C2 in improving the PQ by reducing the %THD of the voltage and current system and improving the systems' voltage waveforms. With C2, voltage fluctuation is decreased by 98%, but it nearly disappears in C1 during normal conditions. Additionally, during the fault period, voltage distortion is reduced by 95% and 100% with C2 and C1, respectively. Furthermore, when comparing C1 to C2 and C3 under regular conditions, the percentage reduction in THD is remarkable. In addition, C1 eliminates the need for voltage sag, and harmonic and current harmonic detectors, and it helps to streamline the control approach and boost control precision. The modeling and simulation of the prepared system are performed by MATLAB/Simulink. Finally, it can be concluded that the acquired results are very interesting and helpful in the recovery to the steady state of wind systems and nonlinear loads, thereby increasing their grid connection capabilities. [ABSTRACT FROM AUTHOR]
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- 2023
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25. Adaptive frequency control in smart microgrid using controlled loads supported by real-time implementation.
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Ewais, Ahmed M., Elnoby, Ahmed M., Mohamed, Tarek Hassan, Mahmoud, Mohamed Metwally, Qudaih, Yaser, and Hassan, Ammar M.
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ADAPTIVE control systems ,MICROGRIDS ,FREQUENCIES of oscillating systems ,ELECTRICAL load ,IMPACT loads - Abstract
The operation of the system's frequency can be strongly impacted by load change, solar irradiation, wind disturbance, and system parametric uncertainty. In this paper, the application of an adaptive controller based on a hybrid Jaya-Balloon optimizer (JBO) for frequency oscillation mitigation in a single area smart μG system is studied. The proposed adaptive control approach is applied to control the flexible loads such as HPs and EVs by using the JBO which efficiently controls the system frequency. The suggested technique uses the power balance equation to provide a dynamic output feedback controller. The main target is to regulate the frequency and power of an islanded single area μG powered by a PV and a diesel generator with integrations of smart bidirectional loads (HPs and EVs) that are controlled by the proposed adaptive controller in presence of electrical random loads. Moreover, the JBO is designed to minimize the effect of the system load disturbance and parameter variations. For a better assessment, the proposed controller using JBO technique is compared with two other methods which are the coefficient diagram method (CDM) and adaptive one using classical the Jaya technique. In the obtained results, the frequency deviation is found as 0.0015 Hz, which is fully acceptable and in the range of the IEEE standards. The MATLAB simulation results reveal that the suggested technique has a substantial advantage over other techniques in terms of frequency stability in the face of concurrent disturbances and parameter uncertainties. The real-time simulation tests are presented using a dSPACE DS1103 connected to another PC via QUARC pid_e data acquisition card and confirmed the MATLAB simulation results. [ABSTRACT FROM AUTHOR]
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- 2023
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26. Modeling, Simulation, and Experimental Validation of a Novel MPPT for Hybrid Renewable Sources Integrated with UPQC: An Application of Jellyfish Search Optimizer.
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Elmetwaly, Ahmed Hussain, Younis, Ramy Adel, Abdelsalam, Abdelazeem Abdallah, Omar, Ahmed Ibrahim, Mahmoud, Mohamed Metwally, Alsaif, Faisal, El-Shahat, Adel, and Saad, Mohamed Attya
- Abstract
Changes in climatic circumstances, as well as intermittency, which has a significant impact on the overall energy system output from renewable energy sources (RESs), require the development of control strategies for extracting the maximum power available from RESs. To accomplish this task, several techniques have been developed. An efficient maximum power point tracking (MPPT) technique should be utilized to guarantee that both wind-generation and PV-generation systems provide their full advantages. In this paper, a new MPPT approach with jellyfish search optimization (JSO) is developed; in addition, a unified power-quality conditioner (UPQC) is utilized to enhance the performance of the microgrid (MG) and to solve the power-quality issues for the sensitive load. The MG, which includes a photovoltaic (PV), a wind turbine, and a fuel cell battery, is examined and modeled for uniform and nonuniform wind speed and solar irradiance. A comparison between the developed algorithm and different maximum power tracking algorithms is presented. Additionally, four case studies are carried out to verify the effectiveness of the introduced UPQC in enhancing power-quality problems. The research outcome shows high performance from the developed algorithm when assessed with additional algorithms. MATLAB/Simulink software is utilized for the simulation of the wind, PV, and FC control systems. However, experiment validation tests are given under the same condition of PV irradiation to validate the simulation results. The experimental validation is executed by utilizing the PV module simulation model, threefold, 23 V/2A CO3208-1A with solar altitude emulator CO3208-1B board, and the results are compared to the simulation results. [ABSTRACT FROM AUTHOR]
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- 2023
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27. Global economic burden of unmet surgical need for appendicitis
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Reuter, Anna, Rogge, Lisa, Monahan, Mark, Kachapila, Mwayi, Morton, Dion G, Davies, Justine, Vollmer, Sebastian, A A Essam, Abd Elkhalek Sallam, Abd Elrahman Elshafay, Abd El-Rahman Hegazy Khedr, Abdalla Gamal Saad, Abdalla Gharib, Abdalla Kenibar, Abdallah Salah Elsherbiny, Abdalrahman Adel, Abdelaziz Abdelaal, Abdelaziz Osman Abdelaziz Elhendawy, Abdelfatah Hussein, Abdelkader Belkouchi, Abdelmalek Hrora, Abdelrahman Adelshone, Abdelrahman Alkammash, Abdelrahman Assal, Abdelrahman Geuoshy, Abdelrahman Haroun, Abdelrahman Mohammed, Abdelrahman Sayed, Abdelrahman Soliman, Abdelrhman Essam Elnemr, Abdelrhman Kz Darwish, Abdelrhman Osama Elsebaaye, Abdul Khalique, Abdul Rehman Alvi, Abdul Wahid Anwar, Abdulaziz Altwijri, Abdullah Al-Mallah, Abdullah Almoflihi, Abdullah Altamimi, Abdullah Daqeeq, Abdullah Dwydar, Abdullah Gouda, Abdullah Hashim, Abdulmalik Altaf, Abdulmalik Huwait, Abdulrahman Abdel-Aty, Abdulrahman M Altwigry, Abdulrahman Sheshe, Abdulrasheed A Nasir, AbdulRazzaq Oluwagbemiga Lawal, Abdulshafi Khaled Abdrabou, Abdurrahaman Sheshe, Abdussemiu Abdurrazzaaq, Abebe Bekele Zerihun, Abeer Al-Shammari, Abeer El Gendy, Abeer Esam, Abeer Marey, Abhishek Mittal, Abiboye Yifieyeh, Abid Bin Mahamood, Abidemi Adesuyi, Abouelatta Khairy Aly, Abrar Nawawi, Adam Gyedu, Ade Waterman, Adedapo Osinowo, Adedeji Fatuga, Adel Albiety, Adel B Hassanein, Adel Denewar, Adeleke Adekoya, Ademola Adebanjo, Ademola Adeyeye, Ademola Popoola, Adesina Adedeji, Adesoji O Ademuyiwa, Adesoji Tade, Adewale Adeniyi, Adewale O Adisa, Adham Tarek, Adomas Ladukas, Adrian F Palma, Afifatun Hasanah, Afizah Salleh, Afnan Abdelfatah, Afnan Altamimi, Afnan Altamini, Agazi Fitsum, Agboola Taiwo, Ahamed Hassan, Ahed Ghaben, Ahmad Abdel Fattah, Ahmad Abdel Razaq Al Rafati, Ahmad Aboelkassem Ibrahem, Ahmad Aldalaq, Ahmad Ali, Ahmad Almallah, Ahmad Alrifaie, Ahmad Ashour, Ahmad Bakr, Ahmad Bani-Sadar, Ahmad Bin Adnan, Ahmad Elbatahgy, Ahmad Faraz, Ahmad Gudal, Ahmad Hasan, Ahmad Khaled Sabe, Ahmad Khoja, Ahmad Nashaat, Ahmad Qaissieh, Ahmad Sabe, Ahmad Saber Sleem, Ahmad Sakr, Ahmad Shalabi, Ahmad Uzair Qureshi, Ahmed Aamer, Ahmed Abd El Galeel, Ahmed Abd Elmoen Elhusseiny, Ahmed Abd Elsameea, Ahmed Abdelkareem, Ahmed Abdelmotaleb Ghazy, Ahmed Abo El Magd, Ahmed Abo Elazayem, Ahmed Adamu, Ahmed Adel, Ahmed Afandy, Ahmed Ahmed, Ahmed Alghamdi, Ahmed Ali, Ahmed Al-Khatib, Ahmed Altibi, Ahmed Alzahrani, Ahmed Ata, Ahmed Badr, Ahmed Dahy, Ahmed Diab, Ahmed El Kashash, Ahmed El Kholy, Ahmed Elgaili Khalid Musa, Ahmed Elgebaly, Ahmed Elkelany, Ahmed Elkholy, Ahmed El-Sehily, Ahmed Essam, Ahmed Fahiem, Ahmed Farag, Ahmed Fawzy, Ahmed Fouad, Ahmed Gad, Ahmed Ghanem, Ahmed Gheith, Ahmed Gomaa, Ahmed Hafez El-Badri Kotb, Ahmed Hammad, Ahmed Hassan, Ahmed Hossam Eldin Fouad Rida, Ahmed Ismail, Ahmed Karim, Ahmed Khyrallh, Ahmed Lasheen, Ahmed M Rashed, Ahmed Magdy, Ahmed Mahmoud Abdelraouf, Ahmed Menshawy, Ahmed Meshref, Ahmed Mohamed Afifi, Ahmed Mohamed Ibrahim, Ahmed Mohameden, Ahmed Mohammed, Ahmed Mokhtar, Ahmed Mosad, Ahmed Moustafa, Ahmed Moustafa Saeed, Ahmed Negida, Ahmed Rabeih Mohammed, Ahmed Rabie Mohamed, Ahmed Ragab Nayel, Ahmed Ragab Soliman, Ahmed Raslan, Ahmed Raza, Ahmed Refaat, Ahmed Rslan, Ahmed Sabry, Ahmed Sabry El-Hamouly, Ahmed Safwan Marey, Ahmed Saidbadr, Ahmed Sakr, Ahmed Samir, Ahmed Shahine, Ahmed Sheta, Ahmed Soliman, Ahmed Tammam, Ahmed Tarek Abdelbaset Hassan, Ahmed W Shamsedine, Ahmed Zaki, Ahmed Zaki Eldeeb, Ahmed Zohair, Ahmedali M Kandil, Ahmedglal Elnagar, Ahsan Zil-E-Ali, Aijaz Jabbar, Ailsa Claire Snaith, Ainhoa Costas-Chavarri, Aiste Austraite, Ajayesh Mistry, Akin Olaolorun, Akinlabi E Ajao, Al Faifi Jubran, Ala Shamasneh, Alaa Abouelnasr, Alaa Al-Buhaisi, Alaa Bowabsak, Alaa El Jamassi, Alaa Elazab, Alaa Elhadad, Alaa Fergany, Alaa Habeebullah, Alaa Hassan, Alaa Shabkah, Alaa Shaheen, Alaba Adesina, Alan Baird, Alan Grant, Alasdair Ball, Alban Cacurri, Albert Mohale Mphatsoe, Alberto Realis Luc, Alejandro Matheu, Alejandro Munera, Alemayehu Ginbo Bedada, Alessandro Favero, Alessio Maniscalco, Alexander Canta Calua, Alexander J Fowler, Alexandra Gerosa, Alexandre Horobjowsky, Alexandre Venancio De Sousa, Alexia Farrugia, Alexis Pierre Arnaud, Alfio Alessandro Russo, Alfredo Gulielmi, Ali Ababneh, Ali Abo El Dahab, Ali Amin Ahmed Ata, Ali Khan Niazi, Ali Kiasat, Ali Mohamed Hammad, Ali Zardab, Ali Zeynel Abidin Balkan, Aliaa Gamal Toeema, Aliaa Sadek, Aliaksandr Filatau, Aliang Latif, Alibeth Andres Baquero Suarez, Alice Faure, Alice Niragire, Alina Robledo-Rabanal, Aline Broch, Alireza Hasheminia, Alisdair Macdonald, Aliyu Ndajiwo, Allan Novak, Alphonse Zeta Mutabazi, Alvaro Enrique Mendoza Beleño, Alvin Ee Zhiun Cheah, Aly Abd Elrazek, Aly Nasr, Aly Sanad, Alyaa Halim Elgendy, Alyne Daltri Lazzarini Cury, Amal Ibrahim, Amandine Martin, Amani Althwainy, Amany Abouzahra, Amany Eldosouky Mohammed, Amar Kourdouli, Amel Hashish, Amerdip Birring, Amgad Al Meligy, Amina Abdelhamid, Aminah Hanum Haji Abdul Majid, Aminu Mohammad, Amir Ait Kaci, Amira Atef Omar, Amira Elsawy, Amira Hassan Bekhet, Amira Reda, Amjad Abu Qumbos, Amjad Elmashala, Ammar Gado, Amna Mamdouh Mohamed, Amna Mohamed, Amoudtha Rasendran, Amr Ahmed Saleh, Amr Fadel, Amr Hasan, Amr Hassaan, Amr Hossameldin, Amr Muhammad Elkorashy, Amr Tarek Hafez, Amreen Faruq, Amro Aglan, Ana Cecilia Manchego Bautista, Ana Lucia Contreras-Vergara, Ana Maria Sandoval Barrantes, Ana Vega Carreiro De Freitas, Ana Vega Freitas, Anam Rashid, Anan Rady Abdelazeam, Anand Kirishnan, Anass Majbar, Anastasia Bamicha, Anastasios Stefanopoulos, Anders Thorell, Andre Das, Andre Dubois, Andre L Mihaljevic, Andre Navarro, Andrea Allegri, Andrea Armellini, Andrea Belli, Andrea Bondurri, Andrea Echevarria Rosas Moran, Andrea Natili, Andrea Ruzzenente, Andrea Simioni, Andreass Haloho, Andrei Tanase, Andrej Kolosov, Andrejus Subocius, Andrew G N Robertson, Andrew Kirby, Andrew Mcguigan, Andrew Spina, Andrey Litvin, Andrius Burmistrovas, Andrius Strazdas, Andy Arenas, Aneel Bhangu, Anele Rudzenskaite, Angel David Pérez Rojas, Angela Dell, Angelica Genoveva Vergara Mejia, Angeline Charles, Angelo Antoniozzi, Angelo Benevento, Angelos Tselos, Angham Solaiman El-Ma'doul, Anjana Sreedharan, Ankur Bhatnagar, Ann Kjellin, Anna Lasek, Anna Maffioli, Anna Powell, Anna Rinaldi, Anna Watts, Annalisa Lo Conte, Annamaria Bigaran, Annelisse Ashton, Annisa Dewi Fitriana Mukin, Antanas Gulbinas, Antanas Zadoroznas, Anthonius Santoso Rulie, Anthony Ajiboye, Anthony Avoka, Anthony Chuk-Him Lai, Anthony Davor, Anthony Sander, Antje Oosterkamp, Antoinette Bediako-Bowan, Antonella La Brocca, Antônio Leal, Antonio Nocito, Antonio Ramos-De La Medina, Antonio Taddei, Anwar Atiyeh, Anyomih Theophilus Teddy Kojo, Aoife Driscoll, Apar Shah, Apostolos Vlachogiorgos, April Camilla Roslani, Aram Abdelhaq, Arazzelly Del Pilar Paucar, Arcangelo Picciariello, Areej Tarek, Arezo Kanani, Ari Leppäniemi, Arianna Birindelli, Arij Ibrahim, Arjun Nesaratnam, Arlindawati Suyadi, Armando José Román Velásquez, Arnaud Bonnard, Arnav Agarwal, Aroub Alkaaki, Arturas Vaicius, Arvin Khamajeet, Arvo Reinsoo, Arwa Abouzaid, Arwa Elfarargy, Arwa Ibrahim, Arwa Mohamed, Asaf Kedar, Asdaq Ahmed, Ased Ali, Aseel Alnusairat, Aseel Hamarshi, Aseel Musleh, Ash Prabhudesai, Ashraf A Maghrabi, Ashraf Morsi, Ashrarur Rahman Mitul, Asmaa Abdelgelil, Asmaa Abdel-Rahman Al-Aarag, Asmaa Rezq, Asmaa Salah, Aspasia Papailia, Assmaa Badwy, Astrid Leusink, Ata Khan, Ataa Ahmed, Athanasia Bamicha, Athar Eysa, Athirah Zulkifli, Atif Mahdi, Attia Attia, Attia Mohamed Attia, Audrey Clarissa, Audrius Dulskas, Audrius Parseliunas, Augusto Zani, Aung Kyaw Tun, Aurel Mironescu, Aurel Sandu Mironescu, Aurelien Scalabre, Aurora Mariani, Aurore Haffreingue, Aurore Thollot, Ausrine Usaityte, Austė Skardžiukaitė, Awais Raza, Aya Abdel Fatah Ibraheem, Aya Aboarab, Aya Adel Elsharkawy, Aya El-Sawy, Aya Elwaey, Aya Firwana, Aya Hagar, Aya Hammad, Aya Mohamed Fathy, Aya Reda, Aya Yehia Ata, Ayah Hamdan, Ayat Hassaan, Ayman And Taher, Ayman Elwan, Ayman Nabawi, Ayman Salman, Ayman Shwky, Ayokunle Ogunyemi, Azher Herebat, Azmina Verjee, Babajide Adenekan, Babatunde Odeyemi, Badr Eldin Adel, Badreldin Adel Tawfik, Bahar Busra Ozkan, Bakeer Mohamed, Bakhtiar Nighat, Bandar Albeladi, Bárbara Málaga, Barbara Mijuskovic, Barbara Pereira Silvestre, Basant Kumar, Basem Sieda, Bashir Bello, Basim Alghamdi, Basma Magdy, Basma Mahmoud, Basmah Alhassan, Bassant Mowafy, Beatrice Brunoni, Beatrix Weber, Belen Sanchez, Ben Thompson, Benoît Parmentier, Bernard Limoges, Bernard Van Duren, Bernhard Wolf, Bertrand Dousset, Besmir Grizhja, Bettina Lieske, Betty Maillot, Billal Mansour, Bjorn Frisk, Bogdan Diaconescu, Bogdan-Valeriu Martian, Boris Marinkovic, Brendan Skelly, Brian Cameron, Britta Dedekind, Bruno Noukpozounkou, Bryon Frankie Hon Khi Chong, Bylapudi Seshu Kumar, Caio Vinícius Barroso de Lima, Calogero Iacono, Cameron Fairfield, Camila Sanchez Samaniego, Camilla Cona, Camilo Lopez-Arevalo, Caoimhe Normile, Caranj Venugopal, Carla Cecilia Ramã Rez Cabrera, Carla Pierina García Torres, Carlo Corbellini, Carlos Alejandro Arroyo Basto, Carlos Iván Pérez Velásquez, Carlos Morales, Carlos Nsengiyumva, Carlos Paz Galvez, Carmen Capito, Carmen Fernández, Carmina Diaz-Zorrilla, Carolina Guzmán Dueñas, Carolina Oliveira Felipe, Caroline Clifford, Caroluce K Musyoka, Catherine A Shaw, Cathy Magee, Cecile Muller, Cecilia Costa, Cecilia Tolg, Cecilia Wredberg, Celeste Del Basso, Céline Grosos, Cesar Augusto Azmitia Mendizabal, Cesar Miranda, Cesar Razuri, Cezar Ciubotaru, Chali Chibuye, Challine Alexandre, Charing Cheuk Ling Szeto, Charles Dally, Charlotte Jane Mcintyre, Chaymae Benyaiche, Chean Leung Chong, Chee Siong Wong, Cheewei Gan, Chelise Currow, Chelsea Deane, Cheng Chun Goh, Cherry Koh, Cheryl Ou Yong, Chetan Khatri, Chi Chung Foo, Chi Ying Jacquelyn Fok, Chia Kong, Chiara Ceriani, Chimwemwe Kwatiwani, Chingwan Yip, Chintya Tedjaatmadja, Choon Seng Chong, Chouikh Taieb, Choy Ling Tan, Chris Bode, Chris Lee, Christel Leanne Almanon, Christian Hinojosa, Christian Lari Coompson, Christin Schoewe, Christina Neophytou, Christina P Major, Christina Panteli, Christine Mizzi, Christoforos Ferousis, Christopher Bode, Christos Agalianos, Christos Anthoulakis, Christos Barkolias, Christos Dervenis, Chu-Ann Chai, Chui Yee Wong, Ciara Fahy, Cicilia Viany Evajelista, Cirugia De Emergencia, Ciskje Zarb, Citra Dewi Mohd Ali, Claire Sharpin, Clara Milagros Herrera Puma, Clare M Rees, Clare Morgan, Claudia Reali, Claudio Arcudi, Claudio Fermani, Claudio Gabriel Fermani, Clemens Nawara, Clement Onuoha, Clodagh Mangan, Colleen Sampson, Collins Nwokoro, Colombani Jean-Francois, Constantinos Marinos, Cornelius Mukuzunga, Corrado Bottini, Craig Gouldthorpe, Crislee Elizabeth Lopez, Cristina Fernandes, Crystal Yern Nee Chow, Cutting Edge Manipal, Dale Vimalachandran, Dalia Alkhabbaz, Dalia Hemeda, Damien Brown, Damir Ljuhar, Dan L Deckelbaum, Dana Jaradat, Danelo Du Plessis, Daniel Ardian Soeselo, Daniel Cox, Daniel Dabessa, Daniel Estuardo Marroquín Rodríguez, Daniel Hamill, Daniel Nel, Daniel Youssef, Daniela Magri, Daniele Angelieri, Daniele Gui, Danilo Herrera Cruz, Danjuma Sale, Dansou Gaspard Gbessi, Dario Andreotti, Darius Kazanavicius, Darragh McCullagh, David Mcnish, David Merlini, David Monterroso Cohen, Davide De Boni, Davide Rossi, Dayang Nita Abdul Aziz, D C Grobler, Debora Schivo, Deborah Chiesa, Deimante Mikuckyte, Deividas Dragatas, Demi Gray, Diaa Eldin Abdelazeem Amin Elsorogy, Diaa Moustafa Elbendary Elsawahly, Diaaaldin Zahran, Diana Duarte Cadogan, Diana Sanchez, Dickson Bandoh, Diego Alonso Romani Pozo, Diego Antezana, Diego Coletta, Diego Romani, Diego Sasia, Dietmar Öfner, Dieudonne Duhoranenayo, Dimitri Aristotle Raptis, Dimitrios Balalis, Dimitrios K Manatakis, Dimitrios Karousos, Dimitrios Korkolis, Dimitrios Kyziridis, Dimitrios Lytras, Dimitrios Papageorgiou, Dimitrios Sfougaris, Dimitris-Christos Zachariades, Dina Al-Marakby, Dina Faizatur Rahmah, Dina Gamal, Dina Tarek, Dineshwary Periasammy, Diogo Vinicius Dos Santos, Dion Morton, Diya Mirghani, Djifid Morel Seto, D M Cocker, Dmitri A Raptis, Dmitri Nepogodiev, Dmitri Raptis, Doaa Emadeldin, Doaa Gamil, Doaa Hasan, Doaa Hasanain, Doaa Maher Abdelrouf, Domenica Pata, Domingos Mapasse, Dominic Charles Marshall, Donal B O'Connor, Donatas Danys, Donatas Venskutonis, Dorota Radkowiak, Doug Bowley, Dovilè Majauskyté, Dulan Irusha Samaraweera, Durvesh Lacthman Jethwani, Dush Iyer, Dushyant Iyer, Dzianis Khokha, Dzmitry Paulouski, Ebenezer Takyi Atkins, Echaieb Anis, Edgar Domini, Edilberto Temoche, Eduardo Huaman, Edvard Grisin, Edvinas Dainius, Efeson Thomas, Egle Preckailaite, Ehab Alnawam, Ehab Mamdouh, Eirik Kjus Aahlin, Eirini Kefalidi, Ekow Mensah, Elaine Borg, Eldaa Prisca Refianti Sutanto, Eleanor Marks, Elena Goldin, Elena Muzio, Elena Vendramin, Elena Zdanyte Sruogiene, Eleonora Ciccioli, Elio Jovine, Elisa Francone, Elisabeth Jensen, Elissa Rifhan Mohd Basir, Elizabeth Snyder, Ella Teasdale, Elliot Akoto, Elodie Gaignard, Elodie Haraux, Elsa Robert, Elsayed Ali, Elsayed Gamaly, Emad Abdallah, Emad Al-Dakka, Emad Ali Ahmed, Emad Aljohani, Emad Mohamed Saeed Taha, Eman Abd Al Raouf, Eman Abdelmageed, Eman Abuqwaider, Eman Adel Sayma, Eman Elwy, Eman Emara, Eman Hashad, Eman Ibrahim, Eman Magdy, Eman Magdy Hegazy, Eman Mahmoud Abdulhakeem, Eman Mohamed Ibrahim, Eman Mohamed Morshedy, Eman Nofal, Eman Rashad, Eman Yahya Mansor, Emanuel Barrios, Emanuele Rausa, Emeka Nwabuoku, Emilia De Luca, Emilie Eyssartier, Emilio Dijan, Emma Blower, Emma Jurdell, Emma Upchurch, Emmanuel Acquah, Emmanuel Akatibo, Emmanuel Barrios, Emmy Runigamugabo, Enas Alaloul, Enas Alqahtani, Enoch Dagoe, Enoch Tackie, Eriberto Farinella, Eric Ackom, Eric Kofi Appiah, Erick Samuel Florez Farfan, Erik Hervieux, Erik Schadde, Erika Vicario, Erikas Laugzemys, Ernest Yemalin Stephane Ahounou, Eslam Elbanby, Eslam Ezzat, Esraa Abd Elkhalek, Esraa Abdalmageed Kasem, Esraa Alm Eldeen, Esraa El-Gizawy, Esraa Elhalawany, Esraa El-Taher, Esraa Gamal, Esraa Ghanem, Esraa Kasem, Esraa Samir Elbanby, Esraay Zakaria, Ethar Hany, Etienne Courboin, Eu Xian Lee, Euan Macdonald, Eugene Niyirera, Eugenio Grasset, Eugenio Morandi, Eugenio Panieri, Eva Borin, Evangelos Voulgaris, Evelina Slapelyte, Evelina Woin, Ewan Macdermid, Ewen M Harrison, Eyad Khalifah, Ezio Veronese, Fabian Deichsel, Fabrizio Aquilino, Fahd Abdel Sabour, Faisal Idris, Faith Qi Hui Leong, Fanjandrainy Rasoaherinomenjanahary, Farah Mahmoud Ali, Farhana Iftekhar, Farrag Sayed, Fatai Balogun, Fatema Al Bastawis, Fatema Asi, Fathee Nada, Fathi Elzowawi, Fathia Abd El-Salam, Fathy Sroor, Fatima Baluch, Fatimah I Elgendy, Fatma Elkady, Faustin Ntirenganya, Fawzia Abdellatif Elsherif, Fawzy Mohamed, Fayez Elian Al Barrawi, Fazlin Noor, Federica Bianco, Federica Falaschi, Federico Coccolini, Fei Zheng, Felipe Zapata, Felix Alakaloko, Felix Lee, Feng Yih Chai, Ferdy Iskandar, Fernanda Altoe, Fernanda Frade, Fernande Djivoh, Fernando Espinoza, Fernando Fernandez-Bueno, Fernando Tale, Ferry Fitriya Ayu Andika, Fidelis Jacklyn Adella, Filippo Di Franco, Finaritra Casimir Fleur Prudence Rahantasoa, Fitjerald Henry, Fitriana Nur Rahmawati, Florence Dedey, Florian Primavesi, Florin-Mihail Iordache, Fong Yee Lam, Foteini Koumpa, Francesca Steccanella, Francesco Pata, Francesco Riente, Francesco Ruben Giardino, Francesco Selvaggi, Francis Abantanga, Francis Dossou, Francisco Fujii, Francisco Regalado, Francois-Coridon Helene, Françoise Schmitt, Frank Enoch Gyamfi, Frank Owusu, Fred Alexander Naranjo Aristizã Bal, Fred Hodonou, Frederick Du Toit, Frederique Sauvat, Fredrik Wogensen, Frehun Ayele Asele, Fridiz Saravia, Gabriel Pardo, Gabriela Elisa Nita, Gaetano Gallo, Gaetano Luglio, Gaetano Tessera, Galaleldin Abdelazim, Gamal Shimy, Gandau Naa Barnabas, Garba Samson, Gareth Irwin, Gehad El Ashal, Gehad Samir El Sayed, Gehad Tawfik, Gemma Humm, Genoveffa Balducci, George Christian Manrique Sila, George Ihediwa, George Manrique Sila, Georges Azzie, Georgette Marie Camilleri, Georgios Gemenetzis, Georgios Gkiokas, Georgios Karabelias, Georgios Kyrou, Georgios Tzikos, Gerardo Perrotta, Gerfried Teufelberger, Germain Ahlonsou, German Minguez, Geta Maharaj, Gezim Galiqi, Ghada Elhoseny, Ghada Saied Nagy, Ghiath Al Saied, Ghina Shamim Shamsi, Giacomo Nastri, Giacomo Pata, Gianfranco Cocorullo, Gianluca Curletti, Gianluca Pagano, Gianluca Pellino, Gianmaria Confalonieri, Gianpiero Gravante, Giedrius Lauzikas, Giles Dawnay, Gintaras Simutis, Giorgio Vasquez, Giovanni Landolfo, Giovanni Lazzari, Giovanni Luca Lamanna, Giovanni Pascale, Giovanni Pesenti, Giovanni Sgroi, Giridhar H Devadasar, Gisele Moreira, Giuliano Borda-Luque, Giuseppe Clerico, Giuseppe Rotunno, Giuseppe Salamone, Giuseppe Sammarco, Gokhan Lap, Greg Padmore, Gregorio Tugnoli, Gregory Kouraklis, Greta Mclachlan, Greta Wood, Greta Žiubrytė, Guillaume Podevin, Guillermo Sanchez Rosenberg, Guo Liang Yong, Gurdeep Singh Mannu, Gurpreet Singh Banipal, Gustavo Miguel Machain Vega, Gustavo Peixoto Soares Miguel, Gustavo Pereira Fraga, Gustavo Recinos, Gustavo Rodolfo Pertersen Servin, Haaris A Shiwani, Hadeel Al-Farram, Hafiz Hakim, Hagar Zidan, Hager Abdul Aziz Amin, Hager Abdulaziz, Hager Ahmed El-Badawy, Hager Elwakil, Hager Tolba, Hagir Zain Elabdin, Haidar Hajeh, Hala Ahmed, Hala Saad, Halima Aliyu, Hamdi Ebdewi, Hamza Asumah, Hamza Waleed, Hanan Adel Saad, Haney Youssef, Hani Natalie, Hanna Royson, Hannah Anderson-Knight, Hannah Burns, Hannah S Thomas, Hans-Ivar Pahlsson, Harish Neelamraju Lakshmi, Harriet Jordan, Hasan Ismael Ibraheem, Hasan Ismael Ibraheem Al-Hameedi, Hasbi Maulana Arsyad, Hasnain Abbas Dharamshi, Hassan Ali Mostafa, Hatem El-Sheemy, Haya Tahboub, Hayam Ahmed, Hayden Kretzmann, Hayssam Rashwan, Haytham Abudeeb, Hazem Khaled, Hazmi Dwinanda Nurqistan, Heather Bougard, Heba Baraka, Heba Gamal, Heba Shaker, Hector Shibao Miyasato, Helen Mohan, Helen Woodward, Helena Franco, Helene Francois-Coridon, Helmut Alfredo Segovia Lohse, Hend Adel Gawad Shakshouk, Hend Kandil, Hend Mahmoud, Henri Kotobi, Henry Mendel, Henry Nnaj, Herlin Karismaningtyas, Herman Cruz, Hesham Magdy, Hesham Mohammed Bakry, Hian Ee Heng, Hildur Thorarinsdottir, Hisham Safa, Hisham Samih, Hogea Mircea, Hong Kong Sar, Hong Yee Wong, Hoong-Yin Chong, Hope Edem Kofi Kordorwu, Hope Glover-Addy, Horacio Paredes Decoud, Hosni Khairy Salem, Hossam Dawoud, Hossam Elfeki, Hossam Emadeldin, Houda Bachri, Hunain Shiwani, Hussein Ali, Hussein El-Kashef, Hussein Mohammed, Hussien Ahmed, Iason-Antonios Papaskarlatos, Ibrahem Abdelmotaleb, Ibrahim AbdelFattah, Ibrahim Alhabli, Ibrahim Al-Slaibi, Ibrahim AlYoussef, Ibrahim Elzayat, Ibrahim Elzayyat, Ibrahim N Alomar, Ibrahim Rakha, Ibrahim Raza, Ida Björklund, Idelso Vasquez, Ignas Rakita, Ihab Hassan, Ihdaa Adawi, Iloba Njokanma, Iman Elkadsh, Immacolata Iannone, Ingemar Havemann, Ioannis Kyriazanos, Ioannis Patoulias, Ioannis Valioulis, Ionasc Dan, Ionut Negoi, Ionut-Bogdan Diaconescu, Irene Montes, Irene Ortega-Vazquez, Isaac Amole, Isaac Bertuello, Isaac Hanley, Isam Bsisu, Islam Magdy El Sayed, Ismael Isaac Zelada Alvarez, Ismail Lawani, Israa Abdullah Aziz Al-Azraqi, Israa Adel, Israa Awad, Israa Qawasmi, Ivan Mendoza Restrepo, J Edward Fitzgerald, Jack Almy, Jacqueline Sheehan, Jaime Andres Montoya Botero, Jaime Herrera-Matta, Jakeline Restrepo, Jakov Mihanovic, James Adeniran, James Brown, James Davies, James Giles, James Glasbey, James Olivier, James Pape, James Richards, James Wheeler, James Yang, Jamie Shah, Janet Pagnozzi, Jannin Salcedo, Jasim Amin, Jason Brown, Javier Pastora, Javier Rosales, Jazmin Coronel, Jean Bréaud, Jean De La Croix Allen Ingabire, Jean-Baptiste Marret, Jean-Francois Colombani, Jean-François Lecompte, Jeffrey Dalli, Jehad Hassan Youssif, Jehad Meqbil, Jemina Onimowo, Jen Cornick, Jenifa Jeyakumar, Jennifer Nowers, Jennifer Rickard, Jennifer Skehan, Jerry Makama, Jesse Ron Swire Ting, Jessica Juliana Tan, Jessica Patricia Gonzales Stuva, Jessica Roth, Jessica Souza Luiz, Jia Hao Law, Jia Yng Siaw, Jian Er Saw, Jibran Abbasy, Jiheon Song, Jimy Harold Jara Quezada, Joachim Amoako, Joachim Wiborg, Joanna Swann, Jo-Anne Carreira, Joanne Edwards, Joe Vincent, Joel Kin Tan, Joe-Nat Clegg-Lamptey, Johanna Joosten, Johanna Nyberg, Johannes Kurt Schultz, Johannes Wiik Larsen, John Bondin, John F Camilleri-Brennan, John Jemuel V Mora, John Lee Y Allen, John Whitaker, Jolanta Gribauskaite, Jon Arne Søreide, Jon Kristian Narvestad, Jonathan Ajah, Jonathan Dakubo, Jonathan Heath, Jonathan R L Wild, Jonny Setiawan, Jorge Armando Chungui Bravo, Jorge Torres Cardozo, Jose Aguilar-Jimenez, Jose Andres Garcia-Marin, Jose Antonio Cabala Chiong, Jose Costa-Maia, José Hamasaki, José Luis Hamasaki Hamaguchi, Jose Luis Rodicio, Jose María Vergara Celis, José René Arévalo Azmitia, Joselyn Ye, Joseph Awuku-Asabre, Josephine Psaila, Joshua Luck, Joshua Michael Clements, Joyeta Razzaque, Juan Camilo Correa, Juan Carpio, Juan Gouws, Juan Jaime Herrera Matta, Juan Manuel Carmona, Juan Marcelo Delgado, Juana Kabba, Jubran J Al-Faifi, Julia Guasti Pinto Vianna, Julian Camilleri-Brennan, Juliana Menegussi, Julien Leroux, Julien Rod, Juliette Hascoet, Julio Jimenez, Junyeong Oh, Juozas Kutkevicius, Justas Kuliavas, Justas Žilinskas, Justin Chak Yiu Lam, Justus Lando, Ka Hin Gabriel Li, Ka Wai Leung, Kai Yin Lee, Kalangu Kabongo, Kalitha Pinnagoda, Kalon Hewage, Kamau Kinandu, Kamran Faisal Bhopal, Kandasami Palayan, Kareem Dabbour, Kareem Elshaer, Karen Bailey, Karim Hilal, Karl Bonavia, Karolis Lagunavicius, Karolis Varkalys, Kate Cross, Kate Yu-Ching Chang, Katharina Beate Reinisch, Katharine Whitehurst, Katherine Gash, Kathryn Chu, Kathryn Lee, Katie Connor, Katrin Gudlaugsdottir, Kaustuv Das, Kazeem Atobatele, K C Janardha, Kean Leong Koay, Keat-Seong Poh, Keiran David Clement, Keith Sammut, Keith Say Kwang Tan, Kenneth Aaniana, Kenneth Johnson, Kenneth Mealy, Kenneth Thorsen, Kenny Turpo Espinoza, Kent Pluke, Kestutis Strupas, Kevin C Conlon, Kevin Turpo Espinoza, Khaled Abozeid, Khaled Alhady, Khaled Aljboor, Khaled Dawood, Khaled Hesham Elbisomy, Khaled Ibrahim, Khaled Khattab, Khaled Naser El Deen, Khalid Mahmud, Khalid Qurie, Khalid Salah El-Dien, Khalil Abdul Bassit, Khaoula Boukhal, Khlood Ashour, Kholod Tarek Lasheen, Kholoud Abdelbadeai, Khurram Khan, Khuzaimah Zahid Syibrah, Kieran Atkinson, Kieran Ka Kei Li, Kirsten Lafferty, Kjetil Søreide, Knut Magne Augestad, Kolonia Konstantina, Konstantinos Farmakis, Konstantinos Gasteratos, Kornelija Maceviciute, Kpèmahouton René Keke, Kresimir Zamarin, Kristian Styles, Kristijonas Jasaitis, Kristijonas Jokubonis, Kristina Cassar, Kuet Jun Chung, Kuhaendran Gunaseelan, Kuok Chung Lee, Kurt Carabott, Kwabena Agbedinu, Kwaku Boakye-Yiadom, Kwame Maison, Kwasi Asare-Bediako, Kwasi Kusi, Kyaw Phyo Aung, Kylie Joan-Yi Szeto, Kyriakos Psarianos, Laimonas Uščinas, Lalith Asanka Jayasooriya Jayasooriya Arachchige, Lana Abusalem, Larissa Ines Páez Lopez, Lau Wen Liang Joel, Laura Gavagna, Laura Koskenvuo, Laura Lorenzon, Laura Luque, Laurent Fourcade, Lawal Abdullahi, Lawani Ismaïl, Lawrence Bongani Khulu, Layza-Alejandra Mercado Rodriguez, Lee Shi Yeo, Leif Israelsson, Lemuel Davies Bray, Lenin Peña, Leo Licari, Leonardo Solaini, Li Jing Yeang, Liam Henderson, Liam Richardson, Liana Roodt, Lillian Reza, Linas Urbanavicius, Linas Venclauskas, Linda Alvi Madrid Barrientos, Linda Andersson, Ling Wilson, Linn Nymo, Linnea Mauro, Liviu Iuliu Muntean, Liviu Muntean, Ljiljana Jeremic, Lofty-John Anyanwu, Lopna Ahmed Mohamed Ahmed, Lorena Fuentes-Rivera, Lorena Rodriguez, Lorena Solar García, Lorraine Sproule, Lotfy Eldamaty, Luai Jamal, Luana Ayres Da Silva, Lubna Sabeeh, Luc Hervé Samison, Luca Ansaloni, Luca Bortolasi, Luca Turati, Lucia Duinhouwer, Lucian Corneliu Vida, Lucile Fievet, Lucio Selvaggi, Ludwing Alexander Zeta Solis, Luen Shaun Chew, Luigi Bonavina, Luigi Bucci, Luigi Maria Cloro, Luis Alberto Valente Laufer, Luis Barneo, Luis Joaquín García Florez, Luis M Helguero-Santin, Luis Miguel Alvarez Barreda, Luis Tale, Luisa Giavarini, Luiz Carlos Barros De Castro Segundo, Luiza Sarmento Tatagiba, Lukas Eisner, Lusi Padma Sulistianingsih Mata, Maarten Vermaas, Mabel Amoako-Boateng, Maciej Walędziak, Madan Jha, Madelaine Gimzewska, Mads Gran, Maeve O'neill, Magdalini Mitroudi, Magnus Boijsen, Maha Al-Faqawi, Maha Elmasry, Maha Gamal Mohamad Hamad, Maha Nasr, Mahadevan Deva Tata, Mahitab Essam, Mahitab Morsy Farahat, Mahmoud A Elnajjar, Mahmoud Abdelshafy, Mahmoud Abdelshakour, Mahmoud Abdulgawad, Mahmoud Ahmed Fathi Abozyed, Mahmoud Alrahawy, Mahmoud Amreia, Mahmoud Badawy, Mahmoud Eldafrawy, Mahmoud Elfiky, Mahmoud Elkhadragy Maher, Mahmoud Elkhadrawi, Mahmoud Elsayed Moghazy, Mahmoud Gomah, Mahmoud M Saad, Mahmoud Mohamed Metwally, Mahmoud Morsi, Mahmoud Saad, Mahmoud Saami, Mahmoud Salama, Mahmoud Salma, Mahmoud Shalaby, Mahmoud Warda, Mahmoud Zakaria, Mahmut Arif Yuksek, Mahnoor Javaid, Mahnuma Mahfuz Estee, Mai Ebidy, Mai Mohamed Ebidy, Mai Salama, Maíra Cassa Careta, Maja Marcus, Majd Dabboor, Majed Aboelella, Makafui Dayie, Makki Elsayed, Malcolm Falzon, Maleeha Hassan, Malin Sund, Man Fung Leung, Man Hon Andrew Yeung, Manar Abd-Elmawla, Manar Saeed, Mantas Drungilas, Mantas Jokubauskas, Mantas Vilčinskas, Manuel Francisco Roxas, Manuel Hache-Marliere, Manuel Lopez, Manuel Rodriguez Castro, Manuela Mendez, Manzoor Dar, Maram Abu-Toyour, Maram Salah, Marcelo O Higgins Roche, Marco Catani, Marco Maria Pascale, Marco Migliore, Mardelangel Zapata Ponze De Leon, Margaret O'Shea, Margarita Montrimaite, Margherita Notarnicola, Margub Hussain, Maria Clara Mendoza Arango, Maria Giovanna Grella, Maria Hjertberg, Maria Isabel Villegas Lanau, Maria Jesusa B Maño, Maria Lorena Aguilera, Maria Marta Modolo, Maria Mayasari, Maria Novella Ringressi, Maria Soledad Gonzales Montejo, Maria Soledad Merlo, Maria Utter, María Valcarcel-Saldaña, Maria-Lorena Aguilera-Arevalo, Mariam Darweesh, Mariam O Gad, Mariam Saad Aboul-Naga, Mariano Cesare Giglio, Mariastella Malavenda, Marie Carmela Lapitan, Marie Dione Parreno-Sacdalan, Marie Paul, Mariette Renaux-Petel, Marija Agius, Marilia Del Carmen Escalante Salas, Marilla Dickfos, Marina Luiza Pimenta, Mario Contreras Urquizu, Mario Corbellino, Mário Jacobe, Mario Lopez, Mario Pasini, Mario Trompetto, Marisa Leal, Marisol Manriquez-Reyes, Mariuca Popa, Mark Ian Hampton, Mark Sykes, Mark Wagener, Markus Zuber, Marte Bliksøen, Martha Glynn, Martin Jarmin, Martin Kyereh, Martina Perino, Martina Yusuf Shawky, Martinique Vella-Baldacchino, Marvin Vargas, Marwa Altarayra, Marwa Elashmawy, Marwa Elshobary, Marwa Hamdan, Marwa Sayed, Marwan Abubakr, Marwan Fahim, Marwan Shawki, Maryam Ali Khan, Maryna Shubianok, Mashael Al-Mousa, Masood Alghamdi, Masood Jawaid, Massiell Machaca, Massimiliano Dal Canto, Massimo Coletti, Matas Pažuskis, Matei Bratu, Matei Razvan Bratu, Mateusz Rubinkiewicz, Matteo Papandrea, Matteo Ripa, Mattew Ekow, Matthew Baldacchino, Matthew Billy, Matthew Young-Han Kim, Matthieu Peycelon, Matti Tolonen, Maureen Bezzina, Maurizio Foco, Mawaddah Alrajraji, Max Dénakpo, Max Rath, Mayaba Maimbo, Mazed Mohamed, Mazen Hassanain, Megan Turner, Mehmet Ali Yavuz, Mehmet Gumar, Mehmet Uluşahin, Melanie Castro Mollo, Melanie Zapata Ponze De Leon, Menatalla Salem, Mengistu Worku, Menna Tallah Ramadan, Mennaallah Hafez, Mennat-Allah Mustafa, Menold Archee P Redota, Meran Allam, Meric Mericliler, Merna Mostafa, Meryem Abbouch, Metwally Aboraya, Michael Amoah, Michael Cox, Michael Edye, Michael Gillespie, Michael Hanrahan, Michael Livingston, Michael Puttick, Michael Stoddart, Michael Van Niekerk, Michael Walsh, Michael Wilson, Michail Kontos, Michail Margaritis, Michał Janik, Micheal Ohene-Yeboah, Michela Monteleone, Michele Carlucci, Michele Sacco, Michelle Mccarthy, Midhun Mohan, Miguel Angel Paludi, Miguel Siguantay, Mihael Radic, Mihaela Vartic, Miklosh Bala, Milaksh Kumar Nirumal, Milan Radojkovic, Milica Nestorovic, Millika Ghetia, Mindaugas Kiudelis, Mircea Beuran, Mircea Hogea, Mirko Mangiapane, Mitchelle Solange De Fã Tima Linares Delgado, Moayad Othman, Mobolaji Oludara, Modise Zacharia Koto, Mohamad Baheeg, Mohamad Bakhaidar, Mohamad Jeffrey Bin Ismail, Mohamed A Abdelaziz, Mohamed A Amer, Mohamed A Baky Fahmy, Mohamed Abbas, Mohamed Abd El Slam, Mohamed Abdelaty, Mohamed Abdelaty Mohamed, Mohamed Abdelkhalek, Mohamed Abdelraheim, Mohamed Abozaid, Mohamed Abozed Abdullah, Mohamed Abuseif, Mohamed Adel Badenjki, Mohamed Ali Ghonaim, Mohamed Ali Mahmoud, Mohamed Ameen, Mohamed Ammar, Mohamed Asal, Mohamed Awad Elkarim Hamad Mohamed, Mohamed Dablouk, Mohamed El Halawany, Mohamed Elazoul, Mohamed Elbermawy, Mohamed Elfil, Mohamed Elsehimy, Mohamed Elzayat, Mohamed Etman, Mohamed F Zalabia, Mohamed Fares, Mohamed Fawzy Mahrous Badr, Mohamed Fouad Hamed, Mohamed Gadelkarim, Mohamed Ghoneem, Mohamed Gulamhussein, Mohamed Hafez, Mohamed Hashish, Mohamed Hassab Alnaby, Mohamed Husseini, Mohamed Ibrahim, Mohamed Ismail, Mohamed Karkeet, Mohamed Kelany, Mohamed Mabrouk, Mohamed Magdy, Mohamed Mahmoud, Mohamed Moamen Mohamed, Mohamed Moaty, Mohamed Mostafa, Mohamed Mustafa, Mohamed Nashat, Mohamed Nazir, Mohamed Reda Loaloa, Mohamed Rezal Abdul Aziz, Mohamed Sabry Ammar, Mohamed Salah, Mohamed Salah Elhelbawy, Mohamed Seisa, Mohamed Shaalan, Mohamed Sleem, Mohamed Sobhi Jabal, Mohamed Youssef, Mohamed Zidan, Mohamedraed Elshami, Mohammad Abdulkhalek Habeeb, Mohammad Aboraya, Mohammad Adawi, Mohammad Alherz, Mohammad Aliyu, Mohammad Elsayed Omar, Mohammad Ghannam, Mohammad Ghassan Alwafai, Mohammad Mohsin Arshad, Mohammad Rashid, Mohammadasim Amjad, Mohammed Alamoudi, Mohammed Alhendy, Mohammed AlRowais, Mohammed Alsaggaf, Mohammed Alzahrani, Mohammed Bukari, Mohammed Deputy, Mohammed Elgheriany, Mohammed Elsayed, Mohammed Elshaar, Mohammed Elsiddig, Mohammed Firdouse, Mohammed G Azizeldine, Mohammed Hanafy, Mohammed Ismail, Mohammed Kamal Ismail, Mohammed Mousa, Mohammed Mousa Salem, Mohammed Mustafa Hassan Mohammed, Mohammed Mustafa Mohammed, Mohammed Najjar, Mohammed Nasr, Mohammed Osman, Mohammed Osman Dablouk, Mohammed Saeed, Mohammed Saleh A Alghamdi, Mohammed Ubaid Alsaggaf, Mohammed Yahia Mohamed Aly, Mohannad Aledrisy, Mojolaoluwa Olugbemi, Mona Hamdy Madkor, Mona Hosh, Mona Rashad, Monica Bassem, Monique Moron Munhoz, Monty Khajanchi, Morgan Haines, Morvarid Ashtari, Mostada Samy, Mostafa Abdelkader, Mostafa Ahmed Bahaa Eldin, Mostafa Allam, Mostafa Gemeah, Mostafa Mahmoud Eid, Mostafa Qenawy, Mostafa Samy, Mostafa Seif, Mostafa Shalaby, Mousa Mustafa, Moustafa Ibrahim Mahmoud, Moustafa R Aboelsoud, Msafiri Kimaro, Muayad Ahmed Alfarsi, Muhamed M H Farhan-Alanie, Muhammad Adil, Muhammad Alkelani, Muhammad Amsyar Auni Lokman, Muhammad Bin Hasnan, Muhammad Daniyan, Muhammad El-Saied Ahmad Muhammad Gohar, Muhammad Fathi Waleed Omar, Muhammad Habib 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Contreras-Vergara A.L., Barrantes A.M.S., De Freitas A.V.C., Freitas A.V., Rashid A., Abdelazeam A.R., Kirishnan A., Majbar A., Bamicha A., Stefanopoulos A., Thorell A., Das A., Dubois A., Mihaljevic A.L., Navarro A., Allegri A., Armellini A., Belli A., Bondurri A., Moran A.E.R., Natili A., Ruzzenente A., Simioni A., Haloho A., Tanase A., Kolosov A., Subocius A., Robertson A.G.N., Kirby A., McGuigan A., Spina A., Litvin A., Burmistrovas A., Strazdas A., Arenas A., Bhangu A., Rudzenskaite A., Rojas A.D.P., Dell A., Mejia A.G.V., Charles A., Antoniozzi A., Benevento A., Tselos A., El-Ma'doul A.S., Sreedharan A., Bhatnagar A., Kjellin A., Lasek A., Maffioli A., Powell A., Rinaldi A., Watts A., lo Conte A., Bigaran A., Ashton A., Mukin A.D.F., Gulbinas A., Zadoroznas A., Rulie A.S., Ajiboye A., Avoka A., Lai A.C.-H., Davor A., Sander A., Oosterkamp A., Bediako-Bowan A., Brocca A.L., Leal A., Nocito A., La Medina A.R.-D., Taddei A., Atiyeh A., Kojo A.T.T., Driscoll A., Shah A., Vlachogiorgos A., Roslani A.C., Abdelhaq A., del Pilar Paucar A., Picciariello A., Kanani A., Leppaniemi A., Birindelli A., Nesaratnam A., Suyadi A., Velasquez A.J.R., Bonnard A., Agarwal A., Alkaaki A., Vaicius A., Khamajeet A., Reinsoo A., Abouzaid A., Elfarargy A., Kedar A., Alnusairat A., Hamarshi A., Musleh A., Prabhudesai A., Maghrabi A.A., Morsi A., Mitul A.R., Abdelgelil A., Al-Aarag A.A.-R., Rezq A., Salah A., Papailia A., Badwy A., Leusink A., Khan A., Eysa A., Zulkifli A., Mahdi A., Attia A., Attia A.M., Clarissa A., Dulskas A., Parseliunas A., Zani A., Tun A.K., Mironescu A., Mironescu A.S., Scalabre A., Mariani A., Haffreingue A., Thollot A., Usaityte A., Skardziukaite A., Ibraheem A.A.F., Aboarab A., Elsharkawy A.A., El-Sawy A., Elwaey A., Firwana A., Hagar A., Fathy A.M., Ata A.Y., Hamdan A., Taher A.A., Elwan A., Nabawi A., Salman A., Shwky A., Ogunyemi A., Herebat A., Verjee A., Adenekan B., Odeyemi B., Adel B.E., Tawfik B.A., Ozkan B.B., Mohamed B., Nighat B., Albeladi B., Malaga B., Mijuskovic B., Silvestre B.P., Kumar B., Sieda B., Bello B., Alghamdi B., Magdy B., Mahmoud B., Alhassan B., Mowafy B., Brunoni B., Weber B., Sanchez B., Thompson B., Parmentier B., Limoges B., Van Duren B., Wolf B., Dousset B., Grizhja B., Lieske B., Maillot B., Mansour B., Frisk B., Diaconescu B., Martian B.-V., Marinkovic B., Skelly B., Cameron B., Dedekind B., Noukpozounkou B., Chong B.F.H.K., Kumar B.S., de Lima C.V.B., Iacono C., Fairfield C., Samaniego C.S., Cona C., Lopez-Arevalo C., Normile C., Venugopal C., Cabrera C.C.R., Torres C.P.G., Corbellini C., Basto C.A.A., Velasquez C.I.P., Morales C., Nsengiyumva C., Galvez C.P., Capito C., Fernandez C., Diaz-Zorrilla C., Duenas C.G., Felipe C.O., Clifford C., Musyoka C.K., Shaw C.A., Magee C., Muller C., Costa C., Tolg C., Wredberg C., Del Basso C., Grosos C., Mendizabal C.A.A., Miranda C., Razuri C., Ciubotaru C., Chibuye C., Alexandre C., Szeto C.C.L., Dally C., McIntyre C.J., Benyaiche C., Chong C.L., Wong C.S., Gan C., Currow C., Deane C., Goh C.C., Koh C., Yong C.O., Khatri C., Foo C.C., Fok C.Y.J., Kong C., Ceriani C., Kwatiwani C., Yip C., Tedjaatmadja C., Chong C.S., Taieb C., Tan C.L., Bode C., Lee C., Almanon C.L., Hinojosa C., Coompson C.L., Schoewe C., Neophytou C., Major C.P., Panteli C., Mizzi C., Ferousis C., Agalianos C., Anthoulakis C., Barkolias C., Dervenis C., Chai C.-A., Wong C.Y., Fahy C., Evajelista C.V., De Emergencia C., Zarb C., Ali C.D.M., Sharpin C., Puma C.M.H., Rees C.M., Morgan C., Reali C., Arcudi C., Fermani C., Fermani C.G., Nawara C., Onuoha C., Mangan C., Sampson C., Nwokoro C., Jean-Francois C., Marinos C., Mukuzunga C., Bottini C., Gouldthorpe C., Lopez C.E., Fernandes C., Chow C.Y.N., Manipal C.E., Vimalachandran D., Alkhabbaz D., Hemeda D., Brown D., Ljuhar D., Deckelbaum D.L., Jaradat D., Du Plessis D., Soeselo D.A., Cox D., Dabessa D., Rodriguez D.E.M., Hamill D., Nel D., Youssef D., Magri D., Angelieri D., Gui D., Cruz D.H., Sale D., Gbessi D.G., Andreotti D., Kazanavicius D., McCullagh D., McNish D., Merlini D., Cohen D.M., De Boni D., Rossi D., Aziz D.N.A., Grobler D.C., Schivo D., Chiesa D., Mikuckyte D., Dragatas D., Gray D., Elsorogy D.E.A.A., Elsawahly D.M.E., Zahran D., Cadogan D.D., Sanchez D., Bandoh D., Pozo D.A.R., Antezana D., Coletta D., Romani D., Sasia D., Ofner D., Duhoranenayo D., Raptis D.A., Balalis D., Manatakis D.K., Karousos D., Korkolis D., Kyziridis D., Lytras D., Papageorgiou D., Sfougaris D., Zachariades D.-C., Al-Marakby D., Rahmah D.F., Gamal D., Tarek D., Periasammy D., dos Santos D.V., Morton D., Mirghani D., Seto D.M., Cocker D.M., Nepogodiev D., Raptis D., Emadeldin D., Gamil D., Hasan D., Hasanain D., Abdelrouf D.M., Pata D., Mapasse D., Marshall D.C., O'Connor D.B., Danys D., Venskutonis D., Radkowiak D., Bowley D., Majauskyte D., Samaraweera D.I., Jethwani D.L., Iyer D., Khokha D., Paulouski D., Atkins E.T., Anis E., Domini E., Temoche E., Huaman E., Grisin E., Dainius E., Thomas E., Preckailaite E., Alnawam E., Mamdouh E., Aahlin E.K., Kefalidi E., Mensah E., Borg E., Sutanto E.P.R., Marks E., Goldin E., Muzio E., Vendramin E., Sruogiene E.Z., Ciccioli E., Jovine E., Francone E., Jensen E., Basir E.R.M., Snyder E., Teasdale E., Akoto E., Gaignard E., Haraux E., Robert E., Ali E., Gamaly E., Abdallah E., Al-Dakka E., Ahmed E.A., Aljohani E., Taha E.M.S., Al Raouf E.A., Abdelmageed E., Abuqwaider E., Sayma E.A., Elwy E., Emara E., Hashad E., Ibrahim E., Magdy E., Hegazy E.M., Abdulhakeem E.M., Ibrahim E.M., Morshedy E.M., Nofal E., Rashad E., Mansor E.Y., Barrios E., Rausa E., Nwabuoku E., De Luca E., Eyssartier E., Dijan E., Blower E., Jurdell E., Upchurch E., Acquah E., Akatibo E., Runigamugabo E., Alaloul E., Alqahtani E., Dagoe E., Tackie E., Farinella E., Ackom E., Appiah E.K., Farfan E.S.F., Hervieux E., Schadde E., Vicario E., Laugzemys E., Ahounou E.Y.S., Elbanby E., Ezzat E., Elkhalek E.A., Kasem E.A., Eldeen E.A., El-Gizawy E., Elhalawany E., El-Taher E., Gamal E., Ghanem E., Kasem E., Elbanby E.S., Zakaria E., Hany E., Courboin E., Lee E.X., Macdonald E., Niyirera E., Grasset E., Morandi E., Panieri E., Borin E., Voulgaris E., Slapelyte E., Woin E., Macdermid E., Harrison E.M., Khalifah E., Veronese E., Deichsel F., Aquilino F., Sabour F.A., Idris F., Leong F.Q.H., Rasoaherinomenjanahary F., Ali F.M., Iftekhar F., Sayed F., Balogun F., Al Bastawis F., Asi F., Nada F., Elzowawi F., El-Salam F.A., Sroor F., Baluch F., Elgendy F.I., Elkady F., Ntirenganya F., Elsherif F.A., Mohamed F., Al Barrawi F.E., Noor F., Bianco F., Falaschi F., Coccolini F., Zheng F., Zapata F., Alakaloko F., Lee F., Chai F.Y., Iskandar F., Altoe F., Frade F., Djivoh F., Espinoza F., Fernandez-Bueno F., Tale F., Andika F.F.A., Adella F.J., Di Franco F., Rahantasoa F.C.F.P., Henry F., Rahmawati F.N., Dedey F., Primavesi F., Iordache F.-M., Lam F.Y., Koumpa F., Steccanella F., Pata F., Riente F., Giardino F.R., Selvaggi F., Abantanga F., Dossou F., Fujii F., Regalado F., Helene F.-C., Schmitt F., Gyamfi F.E., Owusu F., Aristizabal F.A.N., Hodonou F., Du Toit F., Sauvat F., Wogensen F., Asele F.A., Saravia F., Pardo G., Nita G.E., Gallo G., Luglio G., Tessera G., Abdelazim G., Shimy G., Barnabas G.N., Samson G., Irwin G., El Ashal G., El Sayed G.S., Tawfik G., Humm G., Balducci G., Sila G.C.M., Ihediwa G., Sila G.M., Azzie G., Camilleri G.M., Gemenetzis G., Gkiokas G., Karabelias G., Kyrou G., Tzikos G., Perrotta G., Teufelberger G., Ahlonsou G., Minguez G., Maharaj G., Galiqi G., Elhoseny G., Nagy G.S., Al Saied G., Shamsi G.S., Nastri G., Pata G., Cocorullo G., Curletti G., Pagano G., Pellino G., Confalonieri G., Gravante G., Lauzikas G., Dawnay G., Simutis G., Vasquez G., Landolfo G., Lazzari G., Lamanna G.L., Pascale G., Pesenti G., Sgroi G., Devadasar G.H., Moreira G., Borda-Luque G., Clerico G., Rotunno G., Salamone G., Sammarco G., Lap G., Padmore G., Tugnoli G., Kouraklis G., McLachlan G., Wood G., Ziubryte G., Podevin G., Rosenberg G.S., 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N.S., Seyoum N., Gobin N., Limaye N., Aruldas N., Abdel-Wahab N.Y.E., Smart N., Rojas N.M.U., Msiska N., Kaselis N., El-Shahat N.S., Badwi N.M., Elfouly N., Phillips N., Starr N., Chetta N., Zanini N., Henric N., D'aguzan N., Grech N., Panait N., Leone N., Falco N., Gyanchandani N., Hall N.J., Shaikh N., Adu-Aryee N., Abdullah N.A.N., Kosai N.R., Pezelj N., Green N., Gouvas N., Ivros N., Mitroudis N., Nikoloudis N., Zampitis N., Niranjan N., Maistry N., Abdullah N., Soliman N.A., Maraie N., Wael N., Osman N., Shahzad N., Aziz N.A., Al Subaie N., Abdel-Hameed N., El Gendy N.H., Uzabumwana N., Herrera N., Depalma N., Sishuba N., Akeel N., Attallah N.A., Adam N., Anwar N., Elsabbagh N., Elhadary N.M., Mesbah N., Semeda N., Soliman N., Adhitama N., Aman N.F., Muralha N., Riswan N.Z., Purwaningsih N.A., Ngayu N., Garaycochea O., Halhouli O., Taiwo O., El Hameed O.S.A., Osagie O., Oshodi O., Abiola O., Ajai O., Warren O., Ziff O., Abbo O., Azzis O., Rosello O., Faturoti O., Habeeb O., Elebute O., Ogunsua O., Adebola O., Odutola O., Abdelkader O., Abdulbagi O., Aguilera O., Alahmady O., Arafa O., Ghoneim O., Hesham O., Mattar O., Moussa O., Osman O., Salah O., Saleh O., Aboelmagd O., Mosalum O., Ayandipo O.O., Faboya O., Williams O., Adesanya O., Ioannidis O., Alser O.H., Algohary O., Mohamed O., Salah O.M., Hassan O.M.M., Ebrahim O.S., Seifelnasr O., Imoro O., Al-Obaedi O., Coyoy-Gaitan O., Bouali O., Abem O.E., Timothy O.K., Oshati O., Ramazzini P., Naess P.A., Assouto P.A., Sarmah P., Eduard P., Mentula P., Salusso P., Violi P., De Marco P., Aonzo P., Silvani P., Ubiali P., Mao P., Kielty P., Sutton P., Ugalde P., Witherspoon P., Wondoh P., Gastaldi P., Karumnas P., Kondrotas P., Morais P.A.B., Orbegozo P.A.T., Talving P., Koh P.Y., Weber P., Lundgren P.-O., Deutschmann P., Labib P., Monrad-Hansen P.W., Visinskas P., Gultom P.A., Alexander P., Choi P., Mshelbwala P., Amoako P.T., Buisson P., De Bono P., Ndwambi P., Grandinetti P.P., Danelli P., Sileri P., Ligure P., Mingrone P., Yoganathan P., Major P., Francois P., Ignatavicius P., Mazrimas P., Arachchi P.P., Jain P., Kwakyeafriyie P., Har P.A.L., Chin P.X., Malik P., Nashidengo P., Liu Q., Alimi Q., Ballouhey Q., Ellison Q., Tze R.G.E., King R., Moore R., Amandito R., Dorani R.M.N.R., Araujo R., Soley R., Roszkowski R., Galleano R., Narayanan R., Herikstad R., Kamil R., Satoskar R., Kabariti R., Staerkle R.F., Nataraja R., Oumer R., Shaker R., Jonnalagadda R., Jaramillo R.A., Cardozo R.A.M., Mamdouh R., Saadeh R., Rodriguez-Uria R., Claire R., Abdelhamed R., Bratu R.-M., Zilinskiene R., Bennai R.M., Alyahya R., Fakher R., Husseiny R., Khreishi R., Balila R.M.H., Elashry R., El-Din R.A., Alshareef R., Saad R., Melo R., D'cruz R., Rajan R., Karim R., Velasquez R., Gilbert R., Lilford R., Opoku-Agyeman R., Spence R., Gilbert R.W., Hagan R., Alyami R., Ots R., Rakauskas R., Khan R., George R., Karlo R., Kerley R., McIntyre R., Morton R., Parker R., Tyler R., Bugeja R., Tutino R., Villa R., Baltrunas R., Pranevicius R., Cautiero R., Cirocchi R., Faccincani R., Klappenbach R., Macchiavello R., Peltrini R., Schiavone R., Mas R., Matos-Puig R., Elsemelawy R., Lawther R., Schmid R., Ardley R., Shah R., Rackauskas R., Julaihi R., Sakr R., Osuoji R., Guevara R., Simoes R.L., Riauka R., Huaraya R.C., Ojeda R.R.B., Cahill R., Camacho R., Callan R., Sacco R., McDonald R., Bowe R., Coomber R., Elmelegy R., Chenn R., Quek R., Balmaceda R., Pacheco R.D.A., Rivas R., Giraldo R.S.R., Gunawan R., Zaa'treh R., Al-Hasani R.K.M.J., Mazelyte R., Blanco R., Gratton R., Scicluna R., Adams R., Tan R.C.K., McIntosh R., Kinnera S.V., Al Awwad S., Karim S., Irtan S., Asturias S., Dardenne S., Mahmoud S.M.E., Ali S., Al-Nahrawi S., Elsherbiney S., Idris S.A.I., Jaber S., Wondimu S., Abdul-Latif S., Alyacoubi S., Hanoun S., El-Rabaa S., Alnuqaydan S.A., Alqahtani S., Ferreira S.A.K., Elshanwany S., Hallam S., Magdy S., Mansour S., Elkolaly S.S., Aldhafeeri S., Di Saverio S., Khallaf S., Arman S., Debrah S., Seisay S., Al Attar S.M., Afana S., Gonzalez S.C.-D., Abdelhady S., Ismail S.A., Saad S., Soliman S., Kushwaha S., Emile S., Sarsik S., Sundstrom S.M., Olori S., Essoun S., Nigo S., Osei-Nketiah S., Sii S.S.Y., Ali S.S., Kumar S., Ahlqvist S., Kwizera S., Pasquali S., Samuel S.A., Sobnach S., Villalobos S., Barakat S.A.E., Ahmed S., Al-Saqqa S., Farouk S.A.M., Arafa S., Ayad S., Elhamouly S., Etienne S., Ghanem S., Kharsa S., Abdel-Kader S.M., Matter S.M., Merida S.M.C., Mehrez S., Mohammed S., Al-Saqqa S.W., Abdelghany S., Antar S., Benammi S., Braungart S., Hafez S., Rayne S., Sahel S., Samy S., Highcock S., Aljohani S., Bradulskis S., Mikalauskas S., Occhionorelli S., Satoskar S., Awad S.A., Sarwary S., Nahar S.N., Tori S.A., Vivekanantham S., D'amours S.K., Mizzi S., Yip S.B.S., King S., Shu S., Sierra S., Gaujoux S., Mahdi S., Chiu S., Chiu S.M.Y., Desta S., Manfreda S., Tshisola S.K., Estupinian S., Ribaldi S., Zegarra S., Rodriguez S.T.T., Al Amin S., Alamin S., 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Chan X.W., Neo Y.T., Souaibou Y.I., Ukwenya Y., Salama Y., Rajjoub Y., Ibrahim Y., Abd-Elrasoul Y., Elfouly Y., Hegazy Y., Soliman Y., El Salam Y.A., Tan Y.W., Zakaria Y., Reddy Y., Tan Y.K., Mok Y.T., Cheong Y.J., Gan Y.Y., Der Y., Mogan Y.P., Allam Y., Asar Y.H., Tew Y.Y., Abuowda Y., Shoura Y.E., Bermudez Y.E.A., Cengiz Y., Cheung Y.H.E., Altinel Y., Ng Y.K., Macchitella Y., Aigrain Y., Mikwar Z., Jaffry Z., Khan Z.A., Iftikhar Z., Elsayed Z.M., Zhang Z., Sam Z.H., Urniezius Z., Dambrauskas Z., Bentounsi Z., and Tverskis Z.
- Subjects
surgical unmetneed ,no keywords listed ,appendicitis ,global surgery ,Financial Stress ,Health Care Costs ,Appendicitis ,Financial Stre ,Health Care Cost ,Cost of Illness ,Humans ,appendicitis,economic burden, surgery ,Surgery ,Appendiciti ,Human - Abstract
Background There is a substantial gap in provision of adequate surgical care in many low- and middle-income countries. This study aimed to identify the economic burden of unmet surgical need for the common condition of appendicitis. Methods Data on the incidence of appendicitis from 170 countries and two different approaches were used to estimate numbers of patients who do not receive surgery: as a fixed proportion of the total unmet surgical need per country (approach 1); and based on country income status (approach 2). Indirect costs with current levels of access and local quality, and those if quality were at the standards of high-income countries, were estimated. A human capital approach was applied, focusing on the economic burden resulting from premature death and absenteeism. Results Excess mortality was 4185 per 100 000 cases of appendicitis using approach 1 and 3448 per 100 000 using approach 2. The economic burden of continuing current levels of access and local quality was US $92 492 million using approach 1 and $73 141 million using approach 2. The economic burden of not providing surgical care to the standards of high-income countries was $95 004 million using approach 1 and $75 666 million using approach 2. The largest share of these costs resulted from premature death (97.7 per cent) and lack of access (97.0 per cent) in contrast to lack of quality. Conclusion For a comparatively non-complex emergency condition such as appendicitis, increasing access to care should be prioritized. Although improving quality of care should not be neglected, increasing provision of care at current standards could reduce societal costs substantially.
- Published
- 2022
28. Integration of Wind Systems with SVC and STATCOM during Various Events to Achieve FRT Capability and Voltage Stability: Towards the Reliability of Modern Power Systems.
- Author
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Mahmoud, Mohamed Metwally, Salama, Hossam S., Bajaj, Mohit, Aly, Mohamed M., Vokony, Istvan, Bukhari, Syed Sabir Hussain, Wapet, Daniel Eutyche Mbadjoun, and Abdel-Rahim, Abdel-Moamen M.
- Subjects
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VOLTAGE regulators , *SYSTEM integration , *WIND power , *STATIC VAR compensators , *SYNCHRONOUS capacitors , *WIND speed , *REACTIVE power - Abstract
FACTS tools in modern power systems provide a vital solution to the problems of voltage deviation and fault ride-through (FRT) capability in electrical power systems especially during the integration of wind power. Many distinct journals highlight that the wind-driven squirrel cage generator (SCIG) still accounts for around 15% of operating wind generators so far. To enhance voltage stability and FRT capacity, this paper recommends a cost-effective static VAR compensator (SVC) which has a size rating of six MVAR, and this improves the efficiency of the electrical power system. Different events are considered in this study such as high turbulent wind speed, low turbulent wind speed, unsymmetrical faults, and symmetrical faults to validate the suggested option. Moreover, the suggested solution is compared with the static synchronous compensator (STATCOM) and a fixed capacitor to ensure that during the studied wind speed profiles and faults, voltage stability, reactive power consumption, and FRT capability are realized. An overall comparison among them is performed under all studied scenarios to summarize their benefits and impacts. The simulated results show the effectiveness and superiority of SVC in improving the operation of an integrated wind system based on a grid-linked SCIG and the performance of the power system. The modeling of SCIG, SVC, and STATCOM is designed by MATLAB/Simulink toolbox. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
29. Performance Enhancement of an Islanded Microgrid with the Support of Electrical Vehicle and STATCOM Systems.
- Author
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Kamel, Omar Makram, Diab, Ahmed A. Zaki, Mahmoud, Mohamed Metwally, Al-Sumaiti, Ameena Saad, and Sultan, Hamdy M.
- Subjects
MICROGRIDS ,ELECTRIC power distribution grids ,RENEWABLE energy sources ,STOCHASTIC systems ,ENERGY storage - Abstract
Modern electrical power systems now require the spread of microgrids (MG), where they would be operating in either islanded mode or grid-connected mode. An inherent mismatch between loads and sources is introduced by changeable high renewable share in an islanded MG system with stochastic load demands. The system frequency is directly impacted by this mismatch, which can be alleviated by incorporating cutting-edge energy storage technologies and FACTS tools. The investigated islanded MG system components are wind farm, solar PV, Electric vehicles (EVs), loads, DSTATCOM, and diesel power generator. An aggregated EVs model is connected to the MG during uncertain periods of the generation of renewable energy (PV and wind) to support the performance of MGs. The ability to support ancillary services from the EVs is checked. DSTATCOM is used to provide voltage stability for the MG during congestion situations. The MG is studied in three scenarios: the first scenario MG without EVs and DSTATCOM, the second scenario MG without DSTATCOM, and the third scenario MG with all components. These scenarios are addressed to show the role of EVs and DSTATCOM, and the results in the third scenario are the best. The system voltage and frequency profile is the best in the last scenario and is entirely satisfactory and under the range of the IEEE standard. The obtained results show that both EVs and DSTATCOM are important units for improving the stability of modern power grids. The Matlab/Simulink program is considered for checking and validating the dynamic performance of the proposed configuration. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
30. Application of a Novel Synergetic Control for Optimal Power Extraction of a Small-Scale Wind Generation System with Variable Loads and Wind Speeds.
- Author
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Boudjemai, Hamza, Ardjoun, Sid Ahmed El Mehdi, Chafouk, Houcine, Denai, Mouloud, Elbarbary, Z. M. Salem, Omar, Ahmed I., and Mahmoud, Mohamed Metwally
- Subjects
WIND speed ,WIND pressure ,MAXIMUM power point trackers ,PERMANENT magnet generators ,ELECTRICAL load ,POWER electronics ,RURAL electrification ,WIND power - Abstract
The synergetic control technique (SCT) has the solution for understanding the symmetry inherent in the non-linear properties of wind turbines (WTs); therefore, they achieve excellent performance and enhance the operation of the WT. Small-scale WTs are efficient and cost-effective; they are usually installed close to where the generated electricity is used. This technology is gaining popularity worldwide for off-grid electricity generation, such as in rural homes, farms, small factories, and commercial properties. To enhance the efficiency of the WT, it is vital to operate the WT at its maximum power. This work proposes an efficient and fast maximum power point tracking (MPPT) technique based on the SCT to eradicate the drawbacks of the conventional methods and enhance the operation of the WT at the MPP regardless of wind speed and load changes. The SCT has advantages, such as robustness, simplified design, fast response, no requirement for knowledge of WT characteristics, no need for wind sensors or intricate power electronics, and straightforward implementation. Furthermore, it improves speed convergence with minimal steady-state oscillations at the MPP. The investigated configuration involves a wind-driven permanent magnet synchronous generator (PMSG), uncontrolled rectifier, boost converter, and variable load. The two converters are used to integrate the PMSG with the load. Three scenarios (step changes in wind speed, stochastic changes in wind speed, and variable electrical load) are studied to assess the SCT. The results prove a high performance of the suggested MPPT control method for a fast convergence speed, boosted WT efficacy, low oscillation levels, and applicability under a variety of environmental situations. This work used the MATLAB/Simulink program and was then implemented on a dSPACE 1104 control board to assess the efficacy of the SCT. Furthermore, experimental validation on a 1 kW Darrieus-type WT driving a PMSG was performed. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
31. Dynamic Performance Assessment of PMSG and DFIG-Based WECS with the Support of Manta Ray Foraging Optimizer Considering MPPT, Pitch Control, and FRT Capability Issues.
- Author
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Mahmoud, Mohamed Metwally, Atia, Basiony Shehata, Abdelaziz, Almoataz Y., and Aldin, Noura A. Nour
- Subjects
MOBULIDAE ,PERMANENT magnet generators ,INDUCTION generators ,WIND speed ,RENEWABLE energy sources - Abstract
Wind generators have attracted a lot of attention in the realm of renewable energy systems, but they are vulnerable to harsh environmental conditions and grid faults. The influence of the manta ray foraging optimizer (MRFO) on the dynamic performance of the two commonly used variable speed wind generators (VSWGs), called the permanent magnet synchronous generator (PMSG) and doubly-fed induction generator (DFIG), is investigated in this research article. The PMSG and DFIG were exposed to identical wind speed changes depending on their wind turbine characteristics, as well as a dangerous three-phase fault, to evaluate the durability of MRFO-based wind side controllers. To protect VSWGs from hazardous gusts and obtain the optimum power from incoming wind speeds, we utilized a pitch angle controller and optimal torque controller, respectively, in our study. During faults, the commonly utilized industrial approach (crowbar system) was exclusively employed to aid the studied VSWGs in achieving fault ride-through (FRT) capability and control of the DC link voltage. Furthermore, an MRFO-based PI controller was used to develop a crowbar system. The modeling of PMSG, DFIG, and MRFO was performed using the MATLAB/Simulink toolbox. We compared performances of PMSG and DFIG in reference tracking and resilience against changes in system parameters under regular and irregular circumstances. The effectiveness and reliability of the optimized controllers in mitigating the adverse impacts of faults and wind gusts were demonstrated by the simulation results. Without considering the exterior circuit of VSWGs or modifying the original architecture, MRFO-PI controllers in the presence of a crowbar system may help cost-effectively alleviate FRT concerns for both studied VSWGs. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
32. Voltage Quality Enhancement of Low-Voltage Smart Distribution System Using Robust and Optimized DVR Controllers: Application of the Harris Hawks Algorithm.
- Author
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Mahmoud, Mohamed Metwally, Esmail, Yahia M., Atia, Basiony Shehata, Kamel, Omar Makram, AboRas, Kareem M., Bajaj, Mohit, Hussain Bukhari, Syed Sabir, and Mbadjoun Wapet, Daniel Eutyche
- Subjects
- *
VOLTAGE , *PHOTOVOLTAIC power systems , *ALGORITHMS , *SMART homes , *LYAPUNOV functions - Abstract
The voltage quality (VQ) index has become a significant measure of recent power system stability. The integration of photovoltaic (PV) systems plus smart home loads (SHLs) at low voltage levels (LVLs) has resulted in various issues such as harmonics rise and voltage instabilities as a result of faults and systems nonlinearity. In this work, a dynamic voltage resistor (DVR) is implemented to enhance VQ, and its dynamic performance hinges on its control system ability. To enhance the DVR's control system, for surpassing nonstandard voltage with a quick response and harmonics reduction at LVL under harsh operating events, an optimal controller design using the Harris Hawks algorithm (HHA) is proposed. To verify the value of the suggested solution, the hard operating events (voltage sag, voltage swell, fluctuating voltage, and imbalanced voltage) are examined and assessed. To show the effectiveness of the HHA technique, a comparison of the % total harmonic distortion (THD) reductions achieved by the suggested and conventional controllers of DVR is conducted for the scenarios under study. Moreover, the suggested controller stability is analyzed and assessed using Lyapunov's function. The benefits of the optimized controller system are inferred from the results, including their robustness, simplicity, efficient harmonic rejection, minimal tracking error, quick response, and sinusoidal reference track. The results of the simulation show that the DVR's optimized controller is efficient and effective in maintaining a voltage at the needed level with low THD, safeguarding the sensitive load as expected, and showing a noticeable improvement in voltage waveforms. The mathematical modeling of HHA, PV system, DVR, and SHLs are all verified using MATLAB\Simulink. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
33. An internal parallel capacitor control strategy for DC-link voltage stabilization of PMSG-based wind turbine under various fault conditions.
- Author
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Mahmoud, Mohamed Metwally, Aly, Mohamed M, Salama, Hossam S, and Abdel-Rahim, Abdel-Moamen M
- Subjects
WIND energy conversion systems ,WIND turbines ,PERMANENT magnet generators ,FAST Fourier transforms ,VOLTAGE ,CAPACITORS ,ELECTRON tube grids - Abstract
In recent years, wind energy conversion systems (WECSs) have been growing rapidly. Due to various advantages, a permanent magnet synchronous generator (PMSG) is an appealing solution among different types of wind generators. As wind power penetration level in the grid increases, wind power impacts the grid and vice versa. The most essential concerns in the system are voltage sag and swell, and grid code compliance, particularly for low voltage ride-through (LVRT) and high voltage ride-through (HVRT) capability, is a pressing necessity. This paper presents a parallel capacitor (PC) control strategy to enhance the LVRT and HVRT capability of PMSG. Furthermore, this study presents a method for the sizing of a PC system for the reduction of the overvoltage of the DC-link during voltage sags and swell. Fast Fourier transform analysis is used to determine the total harmonic distortion (THD) for the injected current into the grid. The obtained results illustrate the effectiveness of the proposed system in keeping the DC-link voltage below the limit, power quality improvement, and increasing the LVRT and HVRT capability. Models of wind turbine, PMSG, and PC control system are built using MATLAB/SIMULINK software. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
34. Wind-driven permanent magnet synchronous generators connected to a power grid: Existing perspective and future aspects.
- Author
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Mahmoud, Mohamed Metwally, Khalid Ratib, Mohamed, Aly, Mohamed M, and Abdel-Rahim, Abdel-Moamen M
- Subjects
PERMANENT magnet generators ,ELECTRIC power distribution grids ,ELECTRIC power ,RENEWABLE energy sources ,MAXIMUM power point trackers ,VOLTAGE control ,CASCADE converters - Abstract
Scholars are motivated to work in the field of renewable energy systems (RESs) especially on grid-connected wind generators because of the exciting and noticeable developments going on in this area. This progress is utilized to obtain the maximal, efficient, and stable electric power from the RESs and integrating it into existing systems to improve its efficiency, stability, reliability, and overall power quality. Recently, permanent magnet synchronous generators (PMSGs) have become the main pillar of advanced wind systems thanks to their fascinating pluses over other types of wind generators. This paper presents the up-to-date trends in converter topologies, control approaches, maximal power production methods, and grid integration issues for PMSG-based wind systems. The performed statistical analyses assure the dominance of the two-level back-to-back converter among the studied power converter topologies, field-oriented control method for the machine side converter, voltage oriented control method for the grid side converter control, perturb and observe algorithm amongst the studied maximum power point techniques, and fault ride-through capability out of grid integration issues. Further, recent general trends in technological advancements for PMSG wind system components are illustrated as a pie chart in terms of percentage figures. It is expected that the researchers working in this field would benefit from this article in terms of the presented state-of-the-art statistical analyses and its related literature given in this study. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
35. Solving optimal power flow problem for IEEE-30 bus system using a developed particle swarm optimization method: towards fuel cost minimization.
- Author
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Mohamed, Shazly A., Anwer, Noha, and Mahmoud, Mohamed Metwally
- Abstract
The optimal power flow (OPF) is an important technique for optimizing the control parameters of modern power systems by taking into account the desired objective functions considering system constraints. This paper provides a developed particle swarm optimization (PSO) method for solving the OPF problem with a rigorous objective function of minimizing generation fuel costs for the utility and industrial companies while satisfying a set of system limitations. By reviewing previous OPF investigations, the developed PSO is used in the IEEE 30-bus test system to reduce overall fuel cost, active/reactive power losses, and exhaust. The obtained results are compared to those obtained using a typical PSO technique and other algorithms. In the IEEE 30-bus test system, one of the paper’s key findings is that the cost of fuel is computed as 800.41 $/h, 830.7779 $/h, 825.6922 $/h, 826.54 $/h, 826.3176 $/h, 823.3999 $/h, 786.03 $/h with the conventional PSO, backtracking search algorithm (BSA), hybrid SFLA-SA, differential evolution (DE), enhanced GA (EGA), monarch butterfly optimization (MBO), proposed algorithm, respectively. Moreover, there is a great reduction in the fuel cost by 4.358% compared with the robust MBO algorithm. MATLAB software is used to demonstrate the effectiveness and accuracy of the proposed technique. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
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