Advanced Optimization Technique for Power Quality Enhancement in Solar Energy Based Micro Grid Integrated Electric Vehicle System

A Photovoltaic (PV) station integrated power grid is a viable option to the conventional fossil fuel-based grid system due to the scarcity of fuel, carbon reduction, and long-term utilization aspects. Likewise, electric vehicles (EVs) are evolving technologies nowadays in the communication sector and supply chain, mostly due to fuel cost savings and the reduction of hazardous gases. Numerous researchers have proposed and analyzed the outcome of grid amalgamation of solar energy and EVs in different approaches. However, in the present scenario, the exponential increase and popularity of EVs and the charging station requirements have made it worth compliant that with the unceasing development of PVs and EVs, the modern power grid is experiencing the aftermath of PV– EV integration in an efficient way. The distribution system network of EVs impacts the power quality of the grid. This study aims at modeling a Shunt Active Power Filter (SAPF) using the innovative Shark Water Optimization Algorithm-based control approach for maintaining the power quality issues in a PV-based MG system supplying an EV charging station using MATLAB. The enhancement in the operation of the proposed system is investigated and compared with the conventional compensation practices.