Optimal Placement of Electric Vehicle Charging Station in Distribution System Using Meta-Heuristic Techniques

Technological findings recommend that Electric Vehicles (EVs) play a vital role in the road transportation system. EV's are becoming more prominent as formal vehicles have substantial effect on atmosphere. The rising adoption of EVs will lead to an increase number charging stations would profoundly impact power grid. inappropriate forecasting EV Charging Stations (EVCSs) has detrimental distribution Therefore, selection optimum placement EVCS grid is significant problem. In proposed approach, IEEE 33 Bus system considered for optimal station, with account loads buses. analysis was carried BUS using Loss Sensitivity Factor (LSF) and flow by Newton Raphson method. LSF determined various buses considering voltage, load (real reactive power), losses Also, results compared conventional method, Particle Swarm Optimization (PSO) Harris Hawks (HHO) algorithms. Finally, reliability test out