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作 者:袁建华[1,2] 张天宇 陈广生 黄淘 YUAN Jianhua;ZHANG Tianyu;CHEN Guangsheng;HUANG Tao(College of Electrical Engineering and New Energy,China Three Gorges University,Yichang 443002,China;Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station(China Three Gorges University),Yichang 443002,China)
机构地区:[1]三峡大学电气与新能源学院,湖北宜昌443002 [2]梯级水电站运行与控制湖北省重点实验室(三峡大学),湖北宜昌443002
出 处:《中国电力》2025年第4期119-130,共12页Electric Power
基 金:湖北省输电线路工程技术研究中心基金项目(2022KXL03)。
摘 要:针对多补电区域、多补电方式条件下电动汽车无序补电的现象,为保障补电服务商经济性及消纳高效性的同时兼顾用户补电满意度,提出一种基于补偿机制的电动汽车区域多维补电优化调度策略。首先,基于电量和时间冗余情况进行集群划分,基于补电补偿及时间压力建立补偿感知模型,综合考虑用户花费、时间消耗及结束补电量,进一步构建用户满意度模型及基于后悔定理的用户补电方案决策模型;其次,建立充换电站电池日内滚动补能模型;最后,建立优化调度模型,以最大化补电服务商收益和最小化区域消纳偏差为目标,对补电补偿进行优化。Matlab仿真验证表明,与对比策略相比,所提策略方法增加了补电服务商收益,降低了区域消纳偏差,同时保证了用户对补电方案的满意度。To improve the power supply service provider’s economic efficiency and user’s satisfaction under the background of electric vehicle(EV)charging-disorder in varied charging settings,this paper proposes a compensation-based optimization and scheduling strategy for regional multi-dimensional charging of electric vehicles.Firstly,clusters are formed based on energy consumption patterns and temporal flexibility,and a compensation perception model is established based on charging compensation and time pressure.A user satisfaction model and a regret theory-based user charging decision model are developed with consideration of charging cost,time and quantity of users.And then,a daily rolling energy replenishment model is established for batteries at BCSS.Finally,an optimization scheduling model is created to optimize the charging compensation for maximizing the provider’s revenue and minimizing the regional consumption imbalances.The proposed strategy,verified through Matlab simulation,boosts the power supply service provider’s revenue and slashs the regional consumption deviation,while maintaining the user’s satisfaction with the charging solution.
关 键 词:区域多维补电 后悔理论 补电补偿 用户满意度 多目标优化
分 类 号:TM73[电气工程—电力系统及自动化]
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