Optimal Equipment Configuration Method for Electric Vehicle Charging Stations Considering User Response Characteristics

The rapid development of electric vehicles (EVs) has brought a huge amount of potential demand-side power grid regulation resources, so it is urgent to rationally plan and configure the existing charging station equipment to meet the auxiliary service needs. Considering the strong randomness of users' charging behaviors, an optimal configuration method for EV charging stations based on user response characteristics is proposed. Firstly, considering the heterogeneous psychological weight of different users on time and price, the user satisfaction is calculated using Weber Fichner law, and then a user response characteristic model is constructed. Secondly, based on the response results of different types of users, a method for calculating the adjustable load boundary of charging stations is proposed. Finally, considering the benefits of the charging station participating in the auxiliary service, an optimal configuration model of charging stations is constructed and solved to maximize the comprehensive benefits. The simulation results show that the proposed method can accurately characterize the users' actual charging behavior decision and achieve the optimal configuration of the charging stations. thus effectively improving the comprehensive operating benefits of the charging stations, including the revenue from auxiliary services.