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作 者:程宏波 朱伟铭 商子轩 李昊洋 蔡木良 辛建波 CHENG Hongbo;ZHU Weiming;SHANG Zixuan;LI Haoyang;CAI Muliang;XIN Jianbo(School of Electrical and Automation Engineering,East China Jiaotong University,Nanchang 330013,China;Electric Power Research Institute,State Grid Jiangxi Electric Power Co.,Ltd.,Nanchang 330096,China)
机构地区:[1]华东交通大学电气与自动化工程学院,江西南昌330013 [2]国网江西省电力有限公司电力科学研究院,江西南昌330096
出 处:《电工电能新技术》2025年第3期48-55,共8页Advanced Technology of Electrical Engineering and Energy
基 金:国家自然科学基金项目(51667008、51967007);江西省主要学科学术和技术带头人培养项目(20232BCJ22004)。
摘 要:电动汽车个体数量庞大、需求各异、决策的敏感因素不同,针对车网互动过程中电动汽车个体可能出现的搭便车现象,建立了电动汽车群体内部多车交互演化博弈模型,分析了期望收益驱动的电动汽车个体策略选择路径,从微观上分析了电动汽车群体互动策略的形成过程,建立了电动汽车平均参与度与影响因素之间的关联关系。算例分析表明,提高收益分享系数和放电价格、降低充电成本和损耗系数可提高电动汽车的互动参与度,其中收益分享系数对参与度调控的效果更为明显,内部行为演化机理的研究可为车网互动激励措施的制定提供依据。Given the vast number and diverse needs of electric vehicles,as well as their varying decision-sensitive factors,a multi-vehicle interaction evolutionary game model within the EV community was established to address potential free-riding behaviors during vehicle-grid interactions.This model analyzes the strategic choice paths of individual EVs driven by expected returns and examines the formation process of interaction strategies among the EV community from a micro perspective.It also establishes the relationship between the average abundance of electric vehicles and influencing factors.Case analysis indicates that increasing the profit-sharing coefficient and discharge price,as well as reducing charging costs and loss coefficients,can enhance the average abundance of electric vehicles.Notably,the profit-sharing coefficient has a more significant effect on abundance adjustment.The study of the internal behavioral evolution mechanism can provide a basis for formulating incentive measures for vehicle-grid interactions.
关 键 词:车网互动 多车交互 演化博弈 平均参与度 期望收益
分 类 号:TM71[电气工程—电力系统及自动化]
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