Enhanced Renewable Energy Integration in EV Charging Stations using Adaptive Backstepping Control with Giza Pyramid Construction-Based MPPT for Improved Power Quality

Abstract

The increasing addition of Electric Vehicles (EVs) into the power grid necessitates advanced control strategies for renewable energy-based charging stations to efficient energy utilization. The proposed system aims to optimize energy extraction from renewable sources using a novel Maximum Power Point Tracking (MPPT) algorithm inspired by the Giza Pyramid construction methodology, termed Giza Pyramid Construction (GPC) based MPPT. The GPC-based MPPT algorithm is designed to dynamically adjust the operational point of the PV system to reach maximum power under varying environmental conditions. Its performance is rigorously evaluated and compared against the conventional Incremental Conductance (INC) MPPT algorithm through extensive simulation studies conducted using MATLAB/Simulink. The Key parameters considered include response time to changes in irradiance, power stability, and ripple in the generated power. The simulation results exhibit that the GPC-based MPPT process significantly surpasses the INC-MPPT, achieving faster stabilization times and reduced power ripples. Specifically, the GPC-MPPT achieves stability within 0.018 seconds under changing irradiance conditions, compared to 0.2 seconds for the INC algorithm, with power ripples reduced to 1.7% from 8.57%. The proposed system effectively manages the integration of PV and wind energy and maintains consistent power supply to EV charging stations. This study underscores the potential of advanced control strategies and novel MPPT algorithms in improving the performance and dependability of renewable energy-based EV charging stations. The findings highlight the GPC-MPPT as a promising alternative to conventional methods, offering improved efficiency and power quality in renewable energy applications.