沈阳工业大学学报2025，Vol.47Issue(1)：37-44,8.DOI:10.7688/j.issn.1000-1646.2025.01.05
基于心理账户理论的车-站-网协同优化策略
Optimization strategy of EV-station-grid coordination based on mental accounting
摘要
Abstract
[Objectiv e]With the significant increase in the number of electric vehicles(EVs),transportation is gradually transitioning toward electrification.EV loads have dual attributes of transportation and electricity,which results in more complex spatio-temporal randomness of charging loads and thus makes it more difficult to explore the patterns of charging loads.The large-scale and disorderly integration of EV loads into the power grid undoubtedly leads to excessive voltage fluctuations,affecting the stability of the power system and posing hidden dangers to distribution network scheduling.Therefore,it is imperative to explore the travel patterns of EV users and develop effective charging guidance strategies.[Methods]In response to the problem of unbalanced regional load distribution,this paper proposeed an EV-station-grid collaborative optimization strategy based on mental accounting,which sufficiently considered bounded rationality of users and regulates the charging behaviors from the user side.Based on behavioral economics,this study first comprehensively analyzed various factors influencing the charging decision-making behavior of EV users and constructed a single-attribute value function.On this basis,multidimensional attributes were integrated according to the theory of mental accounting,and attribute weights were assigned to construct a charging decision model that considers users'bounded rationality.[Results]A non-cooperative game price mechanism considering the voltage fluctuation index and users'charging cost was constructed to guide users orderly charging through price,so as to optimize the power quality of the grid,reduce users'charging cost,and protect the basic interests of charging station operators.The simulation results verify the effectiveness and superiority of the collaborative strategy proposed in this paper.[Conclusion]In summary,this paper proposed a charging guidance strategy considering bounded rationality under EV-station-grid coupling.By constructing a non-cooperative game model between the power grid and charging users,real-time charging prices for each charging station were formulated to guide users'charging decision-making behavior,thereby changing the spatio-temporal distribution of fast charging loads.This strategy has significant effects on improving the efficiency of charging station operators,reducing users'waiting time,and enhancing the power quality of the distribution network.It is of great significance for smoothing load fluctuations and maintaining power grid stability and economical operation.The highlight of this paper is the construction of a multi-attribute charging decision model considering bounded rationality of users based on mental accounting,which simulates the bounded rationality and learning process of users,deeply integrates behavioral decision theory with power systems and transportation studies,and can more efficiently guide the orderly charging behavior of EV users,helping the safe and stable operation of the power grid.关键词
电动汽车/充电引导/协同优化/非合作博弈/实时电价/行为经济学/心理账户/有限理性/路-电耦合Key words
electric vehicle/charging guidance/collaborative optimization/non-cooperative game/real-time charging price/behavioral economics/mental accounting/bounded rationality/traffic-grid coupling分类
信息技术与安全科学引用本文复制引用
王楚迪,王琪玮,马少华,颜宁,董雁楠,李相俊,李洋..基于心理账户理论的车-站-网协同优化策略[J].沈阳工业大学学报,2025,47(1):37-44,8.基金项目
国家自然科学基金项目(52077202) （52077202）
沈阳市科技计划项目(2-316-1-13). （2-316-1-13）
