Study on the Planning Method of Electric Vehicle Charging Station considering the Efficiency of Peak Shaving and Frequency Regulations

Abstract

China's provincial and municipal power grid companies continue to introduce the peak shaving and frequency modulation (FM) incentive policy for the auxiliary service market, which will affect the planning and development of electric vehicle(EV) charging stations. In this paper, considering some scenarios of EV charging stations and EVs as a whole to provide power grid peak shaving and FM services, based on the EV charging demand prediction model. This paper proposes an EV charging station planning method that considers the benefit of grid peak shaving and FM. The goal is to minimize the annual social comprehensive cost of the charging station. The optimal location and capacity of EV charging stations are obtained by optimization of simulated annealing particle swarm algorithm. Finally, a simulation analysis was carried out with a part of Xiangzhou area in Zhuhai City as an example, which verified the validity and correctness of the method proposed in this paper.