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文章摘要
基于博弈论的电动汽车充电实时定价策略研究
Research on real-time pricing strategy of electric vehicle charging based on game theory
Received:January 28, 2020  Revised:January 28, 2020
DOI:10.19753/j.issn1001-1390.2021.07.005
中文关键词: 电动汽车  实时电价  定价策略  博弈论  遗传算法
英文关键词: electric vehicle, real-time price, pricing strategy, game theory, genetic algorithm
基金项目:上海市科技创新行动计划(19DZ2204700); 上海市科委地方能力建设计划项目(16020500900)
Author NameAffiliationE-mail
Xu Wenfa* College of Electrical Engineering,Shanghai University of Electric Power xuwenfa1993@163.com 
Wang Yufei College of Electrical Engineering,Shanghai University of Electric Power wangyufei@shiep.edu.cn 
Xue Hua College of Electrical Engineering,Shanghai University of Electric Power xuehua@shiep.edu.cn 
Fu Zhangjie College of Electrical Engineering,Shanghai University of Electric Power 2273327635@qq.com 
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中文摘要:
      提出一种基于博弈论的电动汽车充电实时定价策略。该定价策略中电动汽车充电站为电价制定的博弈主导者,电动汽车用户为电价制定的博弈跟随者。首先,提出充电站调峰效果评价指标,以电动汽车充电价格和充电容量为约束条件,建立充电站-电动汽车用户收益模型;然后,分析充电站与电动汽车用户的博弈策略空间与动态博弈行为,利用遗传算法的寻优机制选择双方的博弈策略,对收益模型进行求解;最后,仿真验证该定价策略能够有效改善电网侧负荷水平,提高博弈双方的经济收益,为实时电价的制定奠定理论基础。
英文摘要:
      A real-time charging pricing strategy of electric vehicle based on game theory is proposed. Under this pricing strategy, the electric vehicle charging station is the leader of the game for pricing, and the electric vehicle users is the follower of the game for pricing. Firstly, the evaluation index of charging station’s peaking effect is introduced, the revenue model for charging station and the electric vehicle users is established with the limitation of charging price and the capacity of electric vehicle; Then, analyzing the game strategy space and the dynamic game behavior between charging station and electric vehicle users, selecting game strategies of both sides through the optimization mechanism of genetic algorithm, and solving the revenue model; Finally, the simulation results of examples verify that the proposed pricing strategy can improve the load level of power grid and the revenue of both players, which provides a theoretical basis for the formulation of real-time electricity prices in the future.
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