Research On Optimization Strategy Of Dynamic Pricing And Charging Scheduling For Electric Vehicle Battery Swapping Station System

It is an important guarantee to promote the rapid development of new energy vehicle industry in the future to provide energy supply for electric vehicles with battery swapping mode.Compared with the charging mode,the battery swapping mode can effectively save the charging time cost of electric vehicle users,and reduce the security risks of centralized charging on the power grid under high load.In recent years,the research on the scheduling of battery swapping stations has gradually become a topic of focus at home and abroad.However,due to the high cost of construction and batteries maintenance,domestic and foreign companies are not interested in battery swapping stations station investment.In view of this,this paper proposes two optimization strategies to improve the operation efficiency of battery swapping stations.Through the dynamic incentive mechanism,the electric vehicle users are attracted to act as the energy supplier of battery swapping stations,and then assist to carry out the battery swapping service.According to this scenario,MDP framework is used to model the stochastic optimization problem in the system,and a dynamic optimal pricing strategy based on auxiliary battery swapping of electric vehicles is proposed.The strategy can flexibly adjust the possibility of auxiliary battery swapping for electric vehicle users,so as to minimize the average cost under the constraint of service quality level of the battery swapping station.Finally,by comparing the proposed strategy with the fixed price strategy,the simulation results show that the dynamic pricing strategy can make the battery swapping station adjust the price adaptively,so as to effectively reduce the cost of the operation period.Regarding the maximization of the average profit during the operation period of the switching station as the optimization objective function,considering the randomness of the demand for battery swapping and the electricity price of the power grid,the MDP framework is used to construct the mathematical model of the charging dispatching of the switching station,and then the optimal charging scheduling strategy based on the grid time-of-use electricity price is proposed.The simulation results show that the strategy can balance the average cost and the service quality level of the battery swapping station.At the same time,the strategy proposed in this paper is compared with greedy charging strategy and probabilistic charging strategy,which verifies that the strategy can ensure that the battery swapping station is in a high level of service quality,and effectively improve the efficiency during the operation period.In addition,the strategy can also guide the battery swapping to charge batteries in the electricity valley period,which makes a certain contribution to maintaining the stability of the power system.