In response to the phenomenon of the negative effects of disorderly charging and discharging of electric vehicles and batteries in photovoltaic battery charging and swapping station(BCSS), a multi-party collaborative optimization strategy integrating multi-mode power replenishment and battery regulation is proposed to ensure user power replenishment optimality, BCSS economy, and regional power grid stability, guiding users′ replenishment decisions and battery scheduling within the station. Firstly, based on the principles of power anxiety and time redundancy, a price perception incentive model is established based on power replenishment incentives and time anxiety, and user demand for power replenishment is constructed considering demand price elasticity and price perception incentives. Furthermore, a power replenishment decision model is established based on the regret theorem. Secondly, based on the load level of the power grid and the guidance of battery capacity, a battery regulation model is established considering the charging and discharging status of the battery. Finally, a multi-party demand optimization scheduling model is established to maximize the economic benefits of charging and swapping stations and minimize regional power grid load fluctuations. Simulation results demonstrate the effectiveness of the proposed strategy, with reducing user expenses by 8.3 %, increasing economic benefits of BCSS by 16.5 %, and reducing regional grid load fluctuations by 41.7 %.