Optimal Scheduling of Electric Vehicles Charging/Discharging Considering V2G and PV System Using Three Different Inventive Algorithms

This paper introduces optimal coordination approach for electric vehicles (EVs) charging/discharging in EV charging station integrated with photovoltaic system using energy management strategies. Three inventive metaheuristics optimization algorithms are implemented and studied to determine day-ahead optimal scheduling for maximization the total profits of EV charging station. These proposed algorithms are whale optimization algorithm (WOA), grey wolf optimization algorithm (GWO) and hunger games search algorithm (HGS). A comparative study is done among the three optimization algorithms with aid of using MATLAB software program considering both modes of operation for EVs: grid-to-vehicle mode when EV is charged from the grid and the other mode is vehicle to grid mode when EV is discharged into the grid. The day-ahead profit is simulated for the three case studies passing through different demand periods; off-peak, mid-peak and on-peak. The simulation results show that HGS algorithm surpasses WOA by 4.72% in total profits and GWO by 7.87%.