Research On Optimal Dispatching Of Electric Vehicle Battery Swapping Station

With the increasingly serious problems of energy shortage,environmental pollution and energy demand,electric vehicles(EVs)have become key research and development targets at home and abroad due to their advantages in energy saving,convenience and greenness,and have become a strategic goal of energy saving and emission reduction in the automotive industry.However,due to the disorderly charging of large-scale EVs,problems such as peak load increase,voltage deviation and energy loss are caused,which poses new challenges to the safe operation of the power system.As the energy supply station for EVs,the battery swapping station(BSS),not only quickly solves the energy demand problem for EVs,but also provides auxiliary services for the power system,increasing the power system flexibility of operation.Based on the analysis of the impact of the development of large-scale EVs on the operation of the power system and the BSS,the paper proposes an adaptive response optimization operation model and battery optimization allocation strategy,in-depth study of the optimal operation model of the BSS,aims to reduce the adverse impact of the future large-scale development of EVs on the power system.The main research content of this paper is introduced as follows:First,the advantages and limitations of the four modes of conventional charging,fast charging,wireless charging and swap of EVs are explained.In addition,according to the travel rules and operating characteristics of EVs,the battery swapping demand and remaining charge are predicted,and the operating characteristics of the BSS are analyzed to provide a guarantee for energy supply.Then,aiming at the operation problem of BSS system optimization,an adaptive response optimization operation model is proposed.First,a price mechanism model is designed to ensure the rationality of the battery swapping cost for EV users.Secondly,based on the battery status of health and the satisfaction cost,an adaptive response model is established to realize the independent participation of EV users in decision-making.In addition,from the perspective of the BSS system operator,an objective function with the maximization of revenue as the optimization objective is established to ensure the efficient and economical operation of the BSS system.At the same time,In addition,the charging load of BSS system is optimized to reduce the peak-valley difference and ensure the safe operation of the power system.Finally,aiming at the battery management problem of BSS system optimization,a battery optimal allocation strategy is proposed.In the battery swapping process,the battery swapping priority function is established to realize the orderly swapping of BBS and EV batteries.By considering the difference in battery status of health,an optimal battery allocation strategy is proposed to allocate batteries to the power system and EV services.At the same time,BSS transfers the excess power to the power system through the discharge technology to provide auxiliary services such as energy adjustment,increasing the flexibility of system operation.In addition,through the scheduling strategy,the charging,discharging,rest and processing status of the battery are effectively controlled to ensure a reasonable,fast and accurate allocation of each battery to serve the EV and power system,and the battery swapping,charging and discharging behaviors are reasonably regulated.Comprehensively weighing the cost-benefit factors,the control center provides the best scheduling plan for EV users and BSS to ensure the safe and economic operation of the BSS system.