Forecast-based Optimal Operation of EV Charging Station with PV Considering Charging Demand and Distributed System

In this paper, based on forecasting short-Term PV generation, demand, and EV charging, we propose a forecast-based optimal V2G scheduling strategy of Energy management system for minimizing the operating cost of an EV charging station and increasing the use of renewable energy. The significance of the developed method is constructing the detailed forecast model consisting of PV generation, regional load demand, and EV charging demand and analyzing the effectiveness of the scheduling participation rate in the case study. Demand types of office and residential areas were considered to establish a realistic EV charging station operation scheme, and short-Term electricity demand forecasts were made based on EV charging data. By integrating these various data, efficient power management is possible. The forecast-based scheduling results show that PV self-consumption has increased, and the main grid dependence and operating cost have decreased.