Improved Boost Converter for Solar System in Grid Connected EV Charging Station

Electric vehicle (EV) adoption has speeded the development of sustainable and inexpensive charging facilities. This study focuses on a grid-connected Solar system based EV charging station that combines novel technologies to increase PV system efficiency and energy usage. A critical component of this system is the addition of an Improved Boost converter, which is meant to increase the power generated by the PV system. To successfully draw in solar electricity, a Radial Basis Function Neural Network (RBFNN) based Enhanced Adaptive Maximum electricity Point Tracking (MPPT) approach is adopted. This MPPT algorithm ensures that the PV system operates to its utmost capacity, optimizing energy generation and overall efficiency. The enhanced output of the proposed converter is directed to a Single-Phase Voltage Source Inverter (VSI), which links the PV system to the grid. As a consequence, this research provides a comprehensive strategy for a grid linked PV-based electric vehicle charging station, highlighting the improved boost converter and an RBFNN founded MPPT algorithm. The contrast graph declares that the projected converter effectiveness value is 90.7% and the THD is 21.2%.