| 引用本文: | 王华昕,张高丽,刘隽,孙华本,汤波.计及用户贡献度的电动汽车主从博弈差异化充电套餐设计[J].电力自动化设备,2022,42(10): |
| WANG Huaxin,ZHANG Gaoli,LIU Jun,SUN Huaben,TANG Bo.Design of differentiated charging package for electric vehicle based on Stackelberg game considering user contribution[J].Electric Power Automation Equipment,2022,42(10): |
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| 摘要: |
| 随着电力市场体制改革的不断深化，为改善国内大部分城市尚未达到激励大规模电动汽车(EV)参与需求响应的现状，并充分调动EV用户参与碳市场、绿电市场的积极性，提出了一种基于EV用户画像的多市场融合充电套餐策略。在保障用户充电满意度的前提下，激励用户改变自身的充电行为，降低电网负荷峰谷差，实现EV聚合商的利润最大化。构建了主方以EV聚合商利润最大化为目标的套餐制定模型和从方以用户效用最大化为目标的套餐决策模型，采用Nash-Q算法求出纳什均衡解。通过实例表明差异化充电套餐策略有效提高了EV聚合商的营业利润、降低了用户充电成本。 |
| 关键词: 电动汽车 用户画像 电动汽车聚合商 需求响应 充电 |
| DOI：10.16081/j.epae.202208002 |
| 分类号:U469.72 |
| 基金项目:国家自然科学基金资助项目(52007167) |
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| Design of differentiated charging package for electric vehicle based on Stackelberg game considering user contribution |
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WANG Huaxin1, ZHANG Gaoli1, LIU Jun2, SUN Huaben1, TANG Bo1
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1.School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;2.NIO Co.,Ltd.,Shanghai 201805, China
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| Abstract: |
| With the continuous deepening of the power market system reform, in order to improve the current situation that most cities in China have not yet reached the level of encouraging large-scale EVs(Electric Vehicles) to participate in the demand response, and to fully mobilize the enthusiasm of EV users to participate in the carbon market and green electricity market, a multi market integrated charging package strategy based on the image of EV users is proposed. On the premise of ensuring the charging satisfaction of users, users are encouraged to change their charging behavior, reduce the peak-valley difference of grid load, and maximize the profits of EV aggregators. A package decision-making model in which the master maximizes the profits of EV aggregators and a package decision-making model in which the slave maximizes the user utility are constructed. Nash-Q algorithm is used to solve the Nash equilibrium solution. The example shows that the differentiated charging package strategy effectively improves the operating profit of EV aggregators and reduces the charging cost of users. |
| Key words: electric vehicles user profile EV aggregator demand response charging |
