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For use in solar-assisted hybrid electric vehicle applications, a multiport bidirectional switched reluctance motor (SRM) drive is suggested in this research. Since the photovoltaic (PV) system's output voltage is low and insufficient to reach the necessary voltage level, a high gain KY converter is used to increase the PV output. The 8/6 SRM receives the steady converter output via the (n+1) diode (n+1) converter architecture with the help of the proportional integral (PI) controller. A PI controller regulates the SRM's speed. A bidirectional battery converter connects the battery, which is attached to the DC bus, to the extra power from the PV. A PI controller manages the bidirectional battery converter's operations. When necessary, the battery transfers the excess energy from the PV to the SRM drive. The outcomes demonstrate that, when examined using MATLAB simulation, the recommended methodology functions well. [ABSTRACT FROM AUTHOR]

An efficient machine learning approach for accomplishing the maximum power point tracking (MPPT) system for photovoltaic (PV) systems is proposed in this work. PV system is one of the most suitable renewable energy sources (RES) for electric vehicles (EV) based operations due to its ubiquitous availability and speed of installation. The deployment of PV-powered EVs reduces the quantity of carbon dioxide emitted into the atmosphere substantially. The primary objective of this research is to integrate a PV system with an EV load and to provide a constant power supply to the EV load with no distortions. A coupled inductor interleaved boost converter is used to raise voltage level of the PV because it has a wide conversions range with low leakage reaction times. Furthermore, the converter produces a consistent output with no fluctuations and high voltage gain. With the application of artificial neural network (ANN) based MPPT and recurrent neural network (RNN) based MPPT, the converter operational performance enhanced with steady dc link voltage is obtained. Consequently, it is stated that the employment of ANN and RNN-based MPPT controllers in PV-based systems offers improved DC link voltage regulation and lower power losses, thereby boosting system effectiveness. The MATLAB platform is used to test every component of the system's performance, and the findings show that the proposed system is more efficient than alternative approaches. [ABSTRACT FROM AUTHOR]

This study presents a novel topology for a high-gain Cuk converter without isolation, leveraging switched-inductor (SL) and switched-capacitor (SC) networks tailored for renewable energy sources. Unlike traditional Cuk converters that perform negative-to-positive boost DC-DC voltage conversion, this innovative design offers a significantly enhanced voltage-boosting capacity. They evolve from the conventional Cuk converter by integrating an SL instead of the singular inductor and substituting the energy-transferring capacitor with an SC. The standout benefits of the modified Cuk converters include a remarkable voltage conversion ratio and minimized voltage stress on the primary switch, allowing a low-voltage-rated switch for greater efficiency. Comparatively, the proposed designs surpass the classical Cuk and a few modified Cuk converters in voltage gain and reduced switch voltage stress. The converter also avoids the need for transformers or coupled inductors, resulting in minimized volume, loss, and expense. The converters' operation in continuous conduction mode is rigorously analyzed in this study. After deriving all the relevant equations, they are validated against outcomes. The proposed Cuk converter topology was simulated using the MATLAB/Simulink tool, and the findings are deliberated. The performance of the proposed converter is compared with the other converters, and the proposed converter's superiority is proved through the obtained results. [ABSTRACT FROM AUTHOR]

Pseudo-random position pulse modulation (RPPM) technique can be implemented either analogically using pseudo-random binary sequences (PRBS) to generate a pulse-width modulation (PWM) control signal or digitally through an Arduino Uno board. It plays a critical role in mitigating conducted electromagnetic emissions (EMI) in boost converters dedicated to electric vehicle systems (EVS) applications. The digital implementation offers a significant advantage by enabling a substantial widening of the frequency spectrum of the control signal. This expanded spectral range results in a noticeable reduction in emitted electromagnetic interference (EMI), making the digital method the preferred choice. The increased spectral bandwidth effectively mitigates EMI, which is particularly advantageous for EMI-sensitive EVS systems. In conclusion, the digital pseudo-random modulation approach, facilitated by Arduino Uno, proves to be more effective in reducing EMI in EVS boost converters. Its capability to broaden the control signal's frequency spectrum leads to a favorable reduction in emitted EMI, ultimately enhancing electromagnetic compatibility and overall system performance. [ABSTRACT FROM AUTHOR]

Three-level DC–DC converters (TLDCs) have attracted industrial and academic attention because of low main switching voltage ratings, simple clamping structure, and good soft-switching characteristics. This paper proposes a new TLDC with combined operation modes, which can operate in both zero-voltage switching (ZVS) and zero-voltage zero-current switching (ZVZCS) modes. The proposes converter varies soft switching mode with a simple switching combination of Sr1 and Sr2, and follows the best efficiency curves over a wide load range. Compared to conventional ZVS or ZVZCS TLDCs, this solution minimizes the circulating current and increases the overall efficiency. In addition, the current stress of the flying capacitor is also low. And, all these good features are realized by two low VA rating MOSFETs. This paper discusses the circuit, operating principles, and some steady-state characteristics. Finally, experimental data from a 1 kW prototype demonstrates the validity and characteristics of the proposed converter. [ABSTRACT FROM AUTHOR]

Bottom currents play a major role in deep‐sea sedimentation, but their significance in the burial of organic carbon is poorly quantified at a global scale. Here we show that Holocene fluxes of organic carbon into the contourite drifts are high, with a global average of 0.09 g cm−2 Kyr−1. At individual drift sites, fluxes are commonly 1–2 orders of magnitude greater than rates in surrounding areas and in global depth‐similar zones. These high fluxes of organic carbon into the contourite drifts are due to high rates of sedimentation. Over the past 50 million years, sedimentation rates at the studied contourite drift sites have overall increased, coincident with decreasing atmospheric CO2 and a cooling global climate. Our work suggests that a ramp‐up of the bottom‐current carbon pump has accelerated removal of CO2 from the atmosphere and oceanic water, thus contributing to the overall global cooling after the Eocene Thermal Maximum. Plain Language Summary: Bottom currents play a major role in deep‐sea sedimentation, but their significance in the burial of organic carbon is poorly quantified at a global scale. Here we examine data from modern contourite drifts (large‐scale, alongslope‐trending bottom‐current deposits) across the globe and show modern fluxes of organic carbon into the drifts are high, with a global average of 0.09 g cm−2 Kyr−1. At individual drift sites, fluxes are commonly 1 to 2 orders of magnitude greater than rates in surrounding areas and in global depth‐similar zones. These high fluxes of organic carbon into the drifts are due to high rates of sedimentation in these deepwater environments, which are driven primarily by vigorous bottom currents—in other words, by a bottom‐current pump that is highly efficient at burying organic carbon. Our work suggests that a ramp‐up of the bottom‐current carbon pump, attributable to progressive intensification of global ocean circulation over the past 50 million years, has accelerated removal of CO2 from the atmosphere and oceanic water, thus contributing to the global cooling after the Eocene Thermal Maximum. Sedimentary records of past organic carbon fluxes in contourite drifts over geologic time could well prove useful in informing predictions of future climate. Key Points: Modern fluxes of organic carbon into the contourite drifts are high, with a global average of 0.09 g cm−2 Kyr−1The fluxes into the drifts are commonly 1–2 orders of magnitude greater than rates in surrounding areas and in global depth‐similar zonesOver the past 50 million years, the bottom‐current pump has accelerated removal of carbon from the oceanic water [ABSTRACT FROM AUTHOR]

A combined Single-Ended Primary-Inductor Converter (SEPIC) and Cuk DC-DC converter that provides a bipolar outputs voltage at the DC bus is widely used in applications especially solar photovoltaic (SPV) system. Maintaining constant output voltages at the DC bus under variable loads and input voltage from SPV is of great interest to many researchers. This paper presents a 400 W mathematical model of a combined SEPIC and Cuk DC-DC converter through state space averaging (SSA) in a continuous conduction mode (CCM). A nested voltage and current control loops are used to regulate voltage and increase the performance of the converter. These controls use Proportional-Integral (PI) controllers to track the desired input reference signal and eliminate any disturbance from the load. The entire model with its control algorithm was modelled in MATLAB/Simulink environment and validation results to evaluate its performance are presented. The controller was able to maintain required bus voltage of 24 V DC and -/+12 V at the output DC bus. DC bus voltage regulation was tested at varying input voltages and varying loads connected at the output, where, in all those scenarios, the converter could regulate its output voltage to required value. [ABSTRACT FROM AUTHOR]

At present, conventional energy production is absent because of the more hazardous gases released into the environment, the high effect on human health, more cost required for maintenance, plus less usefulness for highly populated areas. So, the Renewable Energy Sources are more focused for the present automotive industry application. In this work, the Proton Exchange Membrane Fuel Stack is considered for analyzing the proposed DC–DC converter circuit. The advantages of this fuel stack are high energy density, fast functioning nature, more robustness, and more usefulness for the various water membrane conditions of the fuel stack. However, the disadvantages of the fuel stack are excessive current generation, plus more current conduction losses. So, the wide voltage supply single switch power converter is introduced in this work for optimizing the current production of the fuel stack network. The merits of this converter circuit are high stability, good reliability, low voltage appearing across the switches, plus a uniform power supply. Here, the converter switching pulses are obtained by proposing the Modified Continuous Step Change Adaptive Fuzzy Logic with Grey Wolf Optimization hybrid controller. This controller provides high maximum power extraction efficiency from the fuel stack which is equal to 99.421%. Also, this controller's Maximum Power Point Tracking time is 0.0285 s. [ABSTRACT FROM AUTHOR]

To harness the strengths and mitigate the limitations of line-commutated converter (LCC) and modular multilevel converter (MMC) HVDC systems, the LCC-MMC hybrid HVDC system has been developed. This paper proposes a holomorphic embedding (HE)-based power flow calculation method for AC/DC power systems with the LCC-MMC hybrid HVDC system. Firstly, the methodology involves establishing the mathematical model of the LCC-MMC hybrid HVDC system and its control modes. Subsequently, the HE formulation for the constructed LCC-MMC model is derived using the HE method. The proposed method simplifies the HE formulation using substitute variables, making it adaptable to various control modes. The designed HE formulation facilitates the derivation of the germ solution and the calculation of high-order power series coefficients. A sequential solution flow chart compatible with AC power flow algorithms is constructed to enhance the practicality of the HE method for real-world large-scale systems. The accuracy and effectiveness of the proposed method are verified through numerical tests on the modified IEEE 14-bus, IEEE 57-bus, and large 2383-bus system. The proposed method provides a reliable and efficient solution for power flow analysis in hybrid HVDC systems. [ABSTRACT FROM AUTHOR]

The modular multilevel converter (MMC) has many advantages of low switching losses, good harmonic performance and high modularity structure in state-of-the-art HVDC applications. The full-bridge submodules (FBSMs) of the hybrid MMC can inherently output negative voltage to absorb fault currents, and consequently the hybrid MMC can ride through severe DC faults without blocking. During the DC fault-ride-through process, the submodule capacitor voltage and arm current of the MMC will be temporarily increased. These characteristics limit the proportion of the FBSMs, which should not be too low and thus increase the cost and operating losses of the hybrid MMC. In this paper, an improved sorting algorithm of SM capacitor voltage is established, and a novel virtual damping control strategy is proposed that can effectively suppress the increase in submodule capacitor voltage and arm current of the hybrid MMC during the DC fault-ride-through process. By adopting this optimization control, the proportion of FBSMs can be reduced significantly without deteriorating the fault-ride-through capability or safety of the MMC. The effectiveness of the proposed control is verified by careful theoretical analysis and detailed simulation results. [ABSTRACT FROM AUTHOR]

When the operating state of the power system changes, a modular multilevel converter power electronic transformer (MMC-PET) based on modular multilevel converters cannot perform efficient energy transfer and power conversion under conventional control strategies. To address the above problems, this paper proposes a passive, second-order super-helical sliding mode control strategy for MMC-PET by combining passive control and second-order super-helical sliding mode control with a stronger anti-interference capability. First, a Euler–Lagrange model based on positive and negative sequence separation is established according to the mathematical model of the MMC; second, the model of the system is passively analyzed, and a passive controller is designed according to its passivity, and the passive controller is further optimized by using the super-helical second-order sliding mode control, which improves the overall robustness and interference immunity; finally, the effectiveness and superiority of the super-twisting second-order sliding mode passive control strategy is demonstrated by verifying it through the construction of the MMC-PET simulation model and testing it under various non-ideal working conditions. [ABSTRACT FROM AUTHOR]

The work in this paper is applied to the Zhangbei Power grid. In the flexible direct current (DC) power system, the fault current rises extremely fast when a DC fault occurs. The requirements for the peak of breaking current and fault energy absorption of DC circuit breakers (DCCBs) increase linearly, which significantly increases the cost of the equipment. Therefore, in order to reduce the design difficulty of DCCBs, this paper proposes a strategy to control energy after the fault occurs. Firstly, the energy dimension is added on the basis of the traditional vector control of MMC, which constitutes a three-dimensional energy direct control. Subsequently, the architectures of energy fluctuation control and feedforward control are proposed. The influencing mechanisms for the peak fault current, peak fault voltage and energy dissipation are analyzed. Finally, the simulation of energy fluctuation control and feedforward control is constructed on PSCAD/EMTDC. The simulation results show that the energy fluctuation control is obviously better than the conventional three-dimensional energy control, and the feedforward energy control is further improved on this basis. Compared with the conventional vector control, the peak energy is reduced by 45.43% and the peak current is reduced by 25.39%, which helps to simplify the equipment design and reduce the equipment cost. [ABSTRACT FROM AUTHOR]

In MMC, the variations in capacitor voltage of sub-modules produce the circulating current. This research work presented intends to develop the MMC-HVDC using an the most effective 3 H-infinity regulator for solar energy systems. Initially, the unstable currents are observed using the new sensor and are compared to the current controller, which produces an erroneous current flowing. The current controller is set to zero. Since variations amongst error circulating current adds reference mistakes was expressed as a non-linear meaningful purpose, it is thought to be the primary factor in lowering the total harmonic distortion (THD). Using the Self-Adaptive Cuckoo search algorithm (SA-CS) for signal control, the gain is maximised in the H-infinity controller. Regulate evaluation, conversion performance monitoring, and battery voltage analysis are also used in the performance calculation of the proposed model in addition to THD and circulating current analysis. The results of the simulation show how well the proposed control strategy operates. [ABSTRACT FROM AUTHOR]

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Currently, in modern wind farms, the doubly fed induction generator (DFIG) is commonly adopted for its ability to operate at variable wind speeds. Generally, this type of wind turbine is controlled by using two converters, one on the rotor side (RSC) and the other one on the grid side (GSC). However, the control of these two converters depends mainly on current sensors measurements. Nevertheless, in the case of sensor failure, control stability may be compromised, leading to serious malfunctions in the wind turbine system. Therefore, in this article, we will present an innovative diagnostic approach to detect, locate, and isolate the single and/or multiple real-phase current sensors in both converters. The suggested approach uses an extended Kalman filter (EKF) bank structured according to a generalized observer scheme (GOS) and relies on a nonlinear model for the RSC and a linear model for the GSC. The EKF estimates the currents in the converters, which are then compared to sensor measurements to generate residuals. These residuals are then processed in the localization, isolation, and decision blocks to precisely identify faulty sensors. The obtained results confirm the effectiveness of this approach to identify faulty sensors in the abc phases. It also demonstrates its ability to overcome the nonlinearity induced by wind fluctuations, as well as resolves the coupling issue between currents in the fault period. [ABSTRACT FROM AUTHOR]

Renewable energy sources play a pivotal role in the pursuit of sustainable and eco-friendly power solutions. While offering environmental benefits, they present inherent challenges. Photovoltaic systems rely on surrounding conditions, wind systems contend with variable wind speeds, and fuel cells are both costly and inefficient. Furthermore, the energy injected by renewable energy sources (RES) exhibits unpredictable behavior. To tackle these problems, researchers employ diverse power electronic devices and converters like inverters, power quality filters, and DC–DC choppers. Among these, DC–DC converters stand out for effectively regulating DC voltage and enhancing the efficiency of RESs. The meticulous selection of a suitable DC–DC converter, coupled with the integration of an efficient control technique, significantly influences overall power system performance. This paper introduces a novel approach to the design of switching controllers for DC–DC converters, specifically tailored for application in renewable energy systems. The proposed controller leverages the power of composite switched Lyapunov functions (CSLF) to enhance the efficiency and performance of DC–DC converters, addressing the unique challenges posed by renewable energy sources. Through comprehensive analysis and simulation, this study demonstrates the efficacy of the controller in optimizing power transfer, improving stability, and ensuring reliable operation in diverse renewable energy environments. Moreover, the small-scale DC–DC converter experiment's findings are presented to confirm and validate the proposed scheme's practical applicability. [ABSTRACT FROM AUTHOR]

The bridge current distortion and system power loss of modular multilevel converter (MMC) are increased by the circulating current. In this paper, combined with fractional order theory, a circulating current controller based on fractional order differential sign function sliding mode control (FO-SMC) is proposed. By adding fractional order calculus into the sign function, the response speed is improved on the premise of reducing the chattering of the system. Under the same conditions, the system with PI, SMC and FO-SMC circulating current controller is simulated under AC power disturbance, DC side voltage step and received power step conditions, respectively. The simulation results show that the FO-SMC circulating current controller is better than the other in both steady and dynamic conditions and is more suitable for nonlinear systems as MMC. [ABSTRACT FROM AUTHOR]

DC–DC converters are among the main components of DC power systems based on renewable energy sources. In some applications, interleaved multi-phase converters are employed to reduce the converter input current and output voltage ripples and increase reliability. On the other hand, modular converters are also employed in some applications mainly to increase the system power range, reliability, and reconfigurability. Developing effective methods for controlling and monitoring the modular multi-phase converters plays an important role in the power system's performance and efficiency. In this paper, a new effective Lyapunov-based control method is proposed for the modular multi-phased DC–DC boost converters. The modular converter includes two main multi-phase modules and one reserved module which substitutes the main modules in the fault conditions. The proposed control method is superior to the conventional proportional-integral controller in terms of the response speed and converter's current and voltage transient variations. Also, the proposed controller reduces the number of integrators which leads to the simplified implementation. The validity of the proposed method is confirmed by simulation and experimental results. [ABSTRACT FROM AUTHOR]