南方电网技术2024，Vol.18Issue(10)：161-170,10.DOI:10.13648/j.cnki.issn1674-0629.2024.10.016
计及车主需求的电动汽车聚合商能量调度策略
Energy Scheduling Strategy for Electric Vehicle Aggregators Considering Vehicle Owners Demands
摘要
Abstract
Aiming at the charging/discharging scheduling problem for charging station aggregation of electric vehicles,an optimal energy scheduling strategy is proposed for a electric vehicle aggregator(EVA)that takes into account the demands of vehicle owners with the goal of minimizing the long-term power purchase cost of EVA.Firstly,adequate consideration of vehicle owners demands and the time-varying nature of external grid tariffs,an operational framework for EVA energy scheduling management is established.Secondly,the electric vehicles(EVs)are classified into three charging modes according to the difference of users'charging demands,that is,two-way-dispatch EVs,one-way-dispatch EVs and fast-dispatch EVs,and load models are established respectively.Then,based on reinforcement learning theory the real-time energy scheduling strategy is designed for EVA.Finally,the reasonableness and effectiveness of the proposed algorithm are verified by simulation examples of real data and comparing with other greedy algorithms.The results show that the first two scheduling modes based on the proposed strategy can save 54.1%and 47.5%of the cost of EVA in one month,compared with the scheduling mode under the greedy algorithms.关键词
电动汽车聚合商/需求差异性/实时电价/强化学习/调度策略Key words
electric vehicle aggregator/demand variability/real-time electricity price/reinforcement learning/scheduling strategy分类
信息技术与安全科学引用本文复制引用
黄元清,刘迪迪,覃光锋,贤燕华,农丽萍,卢虹兵..计及车主需求的电动汽车聚合商能量调度策略[J].南方电网技术,2024,18(10):161-170,10.基金项目
国家自然科学基金资助项目(62061006,12162005) （62061006,12162005）
广西科技计划项目(桂科AD23026225) （桂科AD23026225）
广西类脑计算与智能芯片重点实验室基金(BCIC-23-Z7) （BCIC-23-Z7）
大学生创新创业训练计划项目(202210602303). Supported by the National Natural Science Foundation of China(62061006) （202210602303）
the Guangxi Science and Technology Program(GuiKe AD23026225) （GuiKe AD23026225）
the Guangxi Key Laboratory of Brain-inspired Computing and Intelligent Chips(BCIC-23-Z7) （BCIC-23-Z7）
the Innovation and Entrepreneurship Training Program Project of University Student(202210602303). （202210602303）
