Abstract
The energy management of the energy storage system in PV-integrated EV charging station is a typical multi-objective optimization problem. This paper mainly studies the energy management optimization method of the energy storage system. Firstly, the system structure of the PV-integrated EV charging station is introduced. Based on Monte Carlo method, the load data of the charging station and the day-ahead measured PV output data, the operation strategy of the energy storage system is analyzed. Then, in order to realize the economy of the charging station and the reliability of the power grid operation, the energy storage management model is established by taking the purchase cost of the charging station from the distribution network and the load power variance of the distribution network as the target. Finally, NSGA-II algorithm is used to solve the energy storage management model to get Pareto optimal solution set, and TOPSIS method is used to compromise the Pareto optimal solution set and calculate the daily energy storage capacity demand of charging station. The feasibility of the energy management method of the energy storage system is verified by an example analysis.
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