电动汽车参与电网调峰的模型及调度策略研究  

Model of electric vehicle participating power grid peak shaving and scheduling strategy

作　　者：王红君[1] 吴浩[1] 赵辉[1,2] 岳有军[1] 

机构地区：[1]天津理工大学天津市复杂控制理论与应用重点实验室,天津300384 [2]天津农学院,天津300384

出　　处：《电源技术》2015年第5期992-993,1125,共3页Chinese Journal of Power Sources

基　　金：天津市自然科学基金项目(09JCZDJC23900;10JCZDJC23100);天津市科技支撑计划(10ZCECJD43080)

摘　　要："汽车-电网"互联(Vehicle to grid简称V2G)技术体现了电动汽车与电网的互动关系,随着电动汽车数量的快速增加和充放电技术的成熟,电动汽车必将成为智能电网的重要组成部分,并有望参与电网调峰平抑负荷波动。建立了一种电动汽车参与电网调峰的模型,提出了基于粒子群算法的调度策略。基于某地区典型的日负荷曲线,研究了电动汽车对电网调峰的影响。The technology of V2G （vehicle to grid, for short V2G） reflects the interactive relationship between power grid and electric vehicles. With the rapidly increasing number of electric vehicles and mature of charge-discharge technology, electric vehicles will become an important part of smart grid and could be used to restrain load fluctuation. A model of electric vehicle involved in the power grid peak shaving was set up, and a scheduling strategy was proposed based on particle swarm optimization （PSO） algorithm. Based on typical daily load curve in a given area, the influences of electric vehicles Darticipating the Dower Qrid Peak shavina were studied.

关 键 词：V2G 电动汽车 电网调峰 粒子群算法 

分 类 号：TM301[电气工程—电机]