V2G模式下考虑多利益主体的优化调度  

Optimization scheduling with multiple stakeholders in V2G mode

作　　者：陈将宏 郑新超 龚小玉 敖志强 胡佳慧 赵小涵 CHEN Jianghong;ZHENG Xinchao;GONG Xiaoyu;AO Zhiqiang;HU Jiahui;ZHAO Xiaohan(College of Electrical Engineering and New Energy,China Three Gorges University,Yichang 443002,China;Hubei Provincial Engineering Technology Research Center for Power Transmission Line,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]湖北省输电线路工程技术研究中心,湖北宜昌443002

出　　处：《重庆理工大学学报（自然科学）》2024年第11期193-199,共7页Journal of Chongqing University of Technology：Natural Science

基　　金：国家自然科学基金项目(62371271)。

摘　　要：针对目前大规模电动汽车(electric vehicle,EV)随机接入电网后导致电网负荷波动和稳定性下降等问题,提出基于车网互联(vehicle-to-grid,V2G)模式下考虑EV用户、电动汽车聚合商(electric vehicle aggregator,EVA)、电网的多利益主体的优化调度策略。电网侧以电网负荷波动最小为目标,EVA侧以EVA收益最大化为目标,EV用户侧在注重用户意愿度和调度能力的前提下,考虑EV电池损耗成本,以EV用户充电成本最小为目标。采用粒子群算法对模型进行算例分析,结果表明:所建立模型能够很好地平抑电网负荷波动,实现EVA和EV用户的经济收益最大化。To address the load fluctuations and stability degradation caused by the random connection of large-scale electric vehicles to the power grid,we propose an optimization scheduling strategy based on the vehicle network interconnection mode,which considers EV drivers,EVAs,and the power grid.The fluctuation of grid load is minimized while the benefits of EVAs are maximized.The the cost of battery loss is considered while EV drivers’intentions and scheduling ability are emphasized,aiming to minimize the charging costs of electric vehicles.The particle swarm optimization(PSO)is employed to analyze the model.Our results show our model effectively suppresses grid load fluctuations and delivers the highest economic returns to EVAs and EV drivers.

关 键 词：电动汽车 车网互联 聚合商 电池损耗 负荷波动 

分 类 号：TM73[电气工程—电力系统及自动化]