Optimized Hybrid Renewable Energy System for Sustainable Electric Vehicle Charging: Integration of Photovoltaic and Wind Power With Advanced Control Strategies

This research presents a novel Hybrid Energy System (HES) that integrates Photovoltaic (PV) and wind power systems into the grid, providing a continuous, reliable power supply specifically for EV charging. The core innovation lies in the design and implementation of a High Gain Bidirectional Modified Zeta (HGBMZ) converter, which significantly enhances PV system efficiency by boosting voltage levels. To optimize power extraction, the system employs an advanced Social Spider Optimization Algorithm (SSOA)-assisted Fuzzy controller for precise Maximum Power Point Tracking (MPPT), ensuring superior converter performance and maximal energy harvesting. A Doubly Fed Induction Generator (DFIG) driven by a Proportional Integral (PI) controller stabilizes the wind component, maintaining voltage levels and system stability across variable conditions. A key feature of this HES is its ability to feed surplus energy back into the grid, facilitated by a PI controller for effective control of voltage and synchronization during peak demand cycles.

Keywords: Electric vehicle (EV), High Gain Bidirectional Modified Zeta (HGBMZ) Converter, PI Controller, SSOA-fuzzy MPPT Controller, WECS-DFIG, PWM Generator, Solar.