An Optimization Model for Battery Swapping Station Considering Grid Demand and User Response Sensitive Factors

This paper focuses on the optimal operation of electric vehicle (EV) battery swapping station (BSS), proposes a BSS operation mechanism considering the EV user response sensitive factors and the grid dispatch demand, and at the same time formulates a specific reward and punishment mechanism to guarantee the operation of the mechanism, and establishes a day-ahead optimization dispatch model of the BSS on the basis of this mechanism. The model takes maximizing the daily revenue of BSS as the objective function, and makes the charging and discharging strategy of the battery in BSS effectively optimized by modeling the user response sensitive factors and the battery allocation strategy. The implementation of the reward and punishment mechanism makes the BSS respond more actively to the grid demand while satisfying the user demand. Finally, the proposed mechanism and model are tested through simulation experiments. By comparison, the batteries in the BSS are utilized more efficiently, while the daily revenue of the BSS is significantly improved.