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The method of utilizing switched capacitors stands as an effective approach to achieve elevated voltage levels while minimizing the requirement for numerous DC sources through efficient utilization of stored energy in capacitors. This poses a significant challenge when designing high-voltage multilevel inverters with a reduced number of sources and switches. This study introduces a new boost-type multilevel inverter named the "nine-level switched capacitor–high-voltage gain boosting inverter" (9LSC-HVGBI). Notably, this specific configuration substantially reduces the DC source and capacitor count, necessitating only ten switches and a single DC source, along with two capacitors and three diodes, to produce a nine-level output. The described architecture offers several notable advantages, including a fourfold amplification capacity in voltage, automated balancing of capacitor voltages, and efficient management of inductive loads. Consequently, it demonstrates superior performance compared to other switched capacitor multilevel inverters in terms of minimal switch conduction at each level, restricting voltage stress on the switches to twice the input voltage, and optimizing efficiency. The proposed design is grounded in an intelligent series and parallel connection of switched capacitors. The study explores the operational concepts, with a specific focus on the mechanism for preserving capacitor voltage balance. The comprehensive loss evaluations and thorough comparisons with state-of-the-art alternatives substantiate its superior performance. Furthermore, the performance of the proposed 9LSC-HVGBI is validated through detailed simulation results across diverse test scenarios and experimental data collected in a well-equipped laboratory. [ABSTRACT FROM AUTHOR]

This work has proposed a minimum switch single-phase nine-level inverter with a new modified carrier pulse width modulation approach. The proposed arrangement delivers a high amount of resultant voltage levels by using a lesser amount of switching devices and ternary sequence DC sources. Furthermore, to improve the quality of resultant voltage and enhance the harmonic spectrum, a newly modified carrier pulse width modulation (PWM) approach is suggested. The suggested design can easily be extended by using a series connection. To prove the better effectiveness of the proposed inverter configuration, a comprehensive comparison with the other nine-level configurations in terms of the required number of sources, switches, capacitors, diodes and conducting switches is performed. The effectiveness and feasibility of the new multilevel inverter structure using the proposed PWM approach have been proven by using MATLAB simulation and prototype results. [ABSTRACT FROM AUTHOR]

The manuscript proposes the design and implementation of a photovoltaic-assisted dynamic voltage restorer with fuzzy-logic control (FLC)-based Improved Second-order Generalized Integrator (I-SOGI) scheme to improve power quality (PQ) in the power system by using an enhanced approach. The proposed method utilizes Firebug Swarm Optimization (FSO) which is motivated by the reproductive swarming behavior of Firebugs. The swarming behavior of FSO is enhanced by using two operators called mutation and crossover. Hence, it is termed as Enhanced FSO (En-FSO) method. Power quality issues considered include harmonic distortions and voltage sag/swell. The Z-source inverter (ZSI) by compensating the dynamic voltage restorer (DVR's), fed voltage into the grid through a series transformer. Long-term balanced voltage sags, swells, unbalanced sags, swells, and interruptions of voltage are all offset by the ZSI-DVR. Using the suggested control method, the total harmonic distortion (THD) of load voltage is kept below 5%. The FLC-based I-SOGI control method for generating the reference signals for voltage compensation enhances a considerable parameter tweaking. The entire analysis demonstrates that the proposed FLC-based I-SOGI control technique effectively mitigates voltage sag, swell, and harmonics while supplying solar photovoltaic (SPV) power to the grid. The simulation and experimental verification of the proposed control algorithm successfully maintains pure sinusoidal load voltage in a variety of test conditions. The results are compared with existing methods to show the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

This paper presents the design and development of a modular multiport DC-DC converter for hybrid charging station. The system is supplied by renewable energy sources (RES) like solar photovoltaic system (SPV), wind energy system (WE) and fuel cell (FC). The proposed converter has several benefits like current sharing capability, providing lower current ripple and lower voltage ripple, lower current stress on the switches, lower current rating of switches and using a small-sized inductor. Due to the unavailability of continuous flow of power from the RES throughout the day, an effective energy management system using the adaptive neuro-fuzzy inference system (ANFIS) is implemented in the proposed system. ANFIS controller is implemented to identify and enable the available power from the renewable energy sources to feed the base load as well as charge the batteries in the hybrid charging station. The ANFIS controller continuously monitors the power availability for the charging station, thereby feeding minimum power to the base load. The proposed system is simulated and tested using the MATLAB/SIMULINK software, and a prototype of the same has been developed in the laboratory. From the simulation and experimental results, it is observed that the proposed converter suits best for integrating hybrid sources and used for charging the EVs. Improved life expectancy of the battery is obtained using the proposed converter. The proposed converter produces an efficiency of 97% and is superior to the other existing converters. [ABSTRACT FROM AUTHOR]

This article discussed the development of a solar photovoltaic-fed modular multilevel inverter (MMI) with reduced switch count to operate an asynchronous motor drive for maritime applications. The proposed marine water-pumping system consist of a PV panel, an asynchronous motor drive, and modular inverter. The suggested topology can produce 11 levels of output using asymmetric DC sources. The proposed MMI consists of five DC sources, and they are powered by the PV panels. The primary advantage of the proposed topology is that it does not need any auxiliary circuit to produce the negative levels. Moreover, the active sources (PV panels) in the proposed system are reduced by implementing a modified single-input and multiple-output SEPIC converter. The power consumption by on-board pumping systems in maritime is estimated to be almost 50% of the total power. Taking this into account, this article investigates an adaptive fuzzy logic-based closed-loop control design for reducing the losses in the induction machine and thereby improving the efficiency of the system. Further, the performance of the proposed system is compared with the conventional PI controller, and from the results, it is proved that the proposed control system works effectively in reducing the losses as well as improving the efficiency of the system. The simulations are carried out in MATLAB/Simulink, and the experimental investigations are carried out in the laboratory. The obtained experimental results are similar to the simulation results. [ABSTRACT FROM AUTHOR]