Cost Benefit Analysis of EV Charging Scheduling under Stochastic Framework Considering PV and Battery Energy Storage

This paper proposes a simultaneous meta heuristic algorithm for charging scheduling of Electric vehicles considering dynamic Real Time Tariff (at 15 mins. time interval) to minimizes the daily cost of charging for electric vehicles (EV) considering various combination of Grid, Photovoltaic panels (PV) and Battery Energy Storage System (BESS) by incorporating soft computing techniques. The algorithm has been designed is such a way that both charging station operator and EV users will incur profit from it. The uncertainties related to EV driving cycles and PV is tackled by applying 2m Point Estimation statistical method (2m-PEM). Later the appropriate combination of these components is identified by performing cost benefit analysis, which will satisfy the overall objective of the proposed work considering various practical constraints. Finally, the robustness of the proposed algorithm is verified by applying non parametric statistical tool.