Voltage Regulation and Power Factor Enhancement for EV Charging Station by Using Optimization Algorithm

Abstract

A Cuk converter-based Power Factor (PF) and voltage regulation enhancement model for an electric vehicle (EV) charging circuit is created and developed, utilizing an optimization technique. Using the Cuk converter's performance measures in Continuous Conduction Mode (CCM), the charging system may produce a steady output current with better PF. This project implements an optimization algorithm-based correction approach for power factor and voltage regulation.  The Jaya optimization algorithm, which is a basic metaheuristic algorithm, uses less algorithm-specific parameters. The use of an optimization algorithm aids in the dynamic adjustment of converter operation to maintain the appropriate power factor and voltage levels under non-linear situations such as load fluctuations and input changes.  The algorithm evaluates the output and modifies the system's parameters to optimize performance for real-time EV applications, taking into account factors such as changing load requirements, input supply uncertainty, and desired voltage levels. The suggested method is created and tested in MATLAB/Simulink. The suggested algorithm is then confirmed experimentally as a hardware prototype.