Optimal Scheduling for PV-Assisted Charging Station Considering the Battery Life of Electric Vehicles

Photovoltaic(PV)-assisted charging station for electric vehicles(EVs) is an efficient way to balance the fluctuation produced by the renewable energy generation and EV charging loads. In the paper, a day-ahead optimal scheduling problem of a PV-assisted charging station(PVCS) in residential area is studied so as to reduce the operation cost of PVCS and prolong the life of EV batteries. Considering the dynamic capacity fading mode of EV batteries and the willingness of EV owners to participate in the vehicle-to-grid mode during the peak period, a dynamic nonlinear constrained optimization mathematical model is established and genetic algorithm(GA) is used to solve the optimal question. Then two different scenarios are simulated and compared, the simulation results show that the operating cost of the charging station and the life span of EV batteries are increased by 31.1% and 34.8% separately when considering the cycle life span of EV batteries during the discharging process. These results validate the effectiveness and practicality of the proposed method in this paper.