With the popularity of electric vehicles (EVs), the impact of disorderly charging on power grid stability cannot be ignored. As one of the energy supply methods of electric vehicles, the optimal scheduling of battery swap station (BSS) can not only reduce the cost of BSS, but also ensure the stable operation of the power system. Therefore, this paper designs a BSS electricity price mechanism based on load demand forecasting and a user adaptive response mechanism based on battery health status and user satisfaction. On this basis, an optimal scheduling model of BSS system aiming at maximizing the revenue of BSS system is established. The simulation results show that the pricing strategy proposed in this paper can reduce the fluctuation of battery demand at each time and increase the revenue of BSS by 8.76%. In addition, the BSS optimal scheduling model proposed in this paper reduces the peak-to-average ratio of charging load from 2.52 to 2.10, realizing peak shaving and valley filling in the power system.