Improved KY Buck-Boost Converter with Meta-Heuristic Optimization for HRES Based EV-Charging

Abstract

As a non-polluting alternative to fuel-based vehicles, Electric Vehicles (EVs) are an advantageous choice. Electricity is typically required to charge these EVs; hence, a novel Renewable Energy Source (RES) powered EV charging station connected to the grid is developed. EV charging stations are required where energy for charging is sourced from RES because the energy stored in EV batteries is insufficient for long-distance driving. This work puts forth the proposal of Hybrid Renewable Energy Source (HRES)-based EV charging, in which these charging stations are equipped with RES and battery storage systems. The energy produced from the PV panel is supplied to the grid via an improved KY buck-boost converter along with a Three Phase Voltage Source Inverter (3ϕ VSI ). The energy obtained is additionally stored in an EV battery for further use. By resolving optimization issues and accelerating convergence, the Sea Lion Optimized PI controller (SLnO-PI), which controls converter operation, maintains a steady supply to the DC link. Similarly, by using a Proportional Integral (PI) controller, 3ϕ VSI coupled to the grid is maximized. The Pulse Width Modulation (PWM) rectifier, which is utilized in Wind Energy Conversion Systems (WECS) employing a Doubly Fed Induction Generator (DFIG), converts AC to DC with the help of a PI controller. The work is simulated in MATLAB Simulink software and respective outcomes are obtained and outcomes are analyzed with efficiency of 97% and voltage gain of 1:16.