市场环境下计及用户响应的电动汽车充电站优化运行策略OA北大核心CSTPCD

In the electricity market environment,the charging stations can reduce electricity costs by coordinating the charging of electric vehicle(EV)to form friendly loads to optimize the market bidding strategies.This paper proposes a dynamic pricing strategy for EV charging stations considering the uncertainty of electricity prices in the electricity market and the price response characteristics of user charging.Firstly,the uncertainty of market electricity price is portrayed based on the stochastic programming method to obtain the typical electricity price scenarios.Secondly,from the perspective of behavioral economics,the charging utility model of EV is established based on prospect theory to analyze the charging economy and charging convenience of EV users.Then,a two-tier optimal scheduling model of charging station taking into account the user's charging response is established considering the charging station and the electric vehicle as the upper and lower problem subjects.In the upper model,the charging station proposes the market trading strategy and dynamic pricing strategy with the goal of maximizing the operational benefits,and EVs make a charging decision with maximizing the charging utility in the lower model.Finally,the case analysis shows that the proposed strategy can set reasonable charging prices based on market price changes and user response potential,which effectively guides user charging behavior and improves the operational efficiency of charging stations.