Multi-stage Charging Recommendation of Charging Station Considering User's Charging Behavior

With the rapid growth of the number of electric vehicles (EVs), how to manage the charging of various types of EVs in an orderly manner plays a crucial role in the stable operation of the power system. Therefore, this paper proposes a multi-stage charging planning strategy for charging stations (CSs) based on the various types of EV user’s charging behavior. First, formulate core user information labels for EV users of typical CSs, build EV users’ behavior data analysis models, and revise labels according to EV users’ responses. Secondly, to meet the day-ahead planned charging load curve as the goal, send the day-ahead invitation information to the core EV users. In addition, the charging load is adjusted in the intra-day recommendation stage to reduce the deviation from the day-ahead power purchase plan. Through a series of simulation experiments, the feasibility of the proposed framework of day-ahead invitation and intra-day recommendation of CSs is verified, and the operating costs of CSs can be effectively reduced.