Enhanced Bidirectional DC/DC Converter for Renewable Energy-Powered Electric Vehicle Charging Systems with Active DC Link Voltage Balancing and Ripple Reduction Control

Abstract

There is a vital need for efficient and sustainable charging infrastructure due to the quick rise in the use of electric vehicles (EVs). One practical way to lesser carbon emissions and lessen dependence on fossil fuels in the transportation industry is to include renewable energy sources like wind, solar, and hydropower into EV charging stations. To overcome these challenges, enhanced bidirectional DC-DC converter for renewable energy-powered electric vehicle charging systems with active DC link voltage balancing and ripple reduction control is proposed. The primary goal of the proposed technique is to lessen Total Harmonic Distortion (THD). The primary sources are photovoltaic (PV), wind and battery. The Augmented Red Panda Optimizer (ARPO) technique is used to optimize the gain parameter of the converter. The proposed technique is evaluated and associated to other existing techniques using the MATLAB platform. The proposed method attains a THD of 0.72%, indicating to provide DC power for the fast charging of electric vehicles. The proposed approach determines better outcomes compared to existing methods such as Grey Wolf Optimiser (GWO), Namib Beetle Optimization (NBO) and Coati Optimization Algorithm (COA).