V2G模式下电动汽车平抑负荷波动的优化策略  

Optimization Strategy for Restraining Load Fluctuation by Electric Vehicle in V2G Mode

作　　者：宋旭东[1] 徐智[2] 郑丹[3] 

机构地区：[1]广东电网公司电力科学研究院,广东广州510080 [2]淮安供电公司,江苏淮安223002 [3]武汉大学电气工程学院,湖北武汉430070

出　　处：《陕西电力》2012年第9期24-27,共4页Shanxi Electric Power

基　　金：中央高校基本科研业务费专项基金资助(武汉大学20112070027)

摘　　要：在V2G(VehicleTo Grid)模式下,电动汽车与电网能够实现功率的双向流动。当电动汽车大规模应用时,可以利用其充放电功能,平抑电网的负荷波动。在电动汽车规模化应用的前提下,对电动汽车进行分类,将私有类电动汽车作为研究目标,建立其1天内的功率模型,提出了基于改进粒子群算法的电动汽车优化调度策略,能有效抑制电网的负荷波动。The power flowing in both directions between electric vehicle and power grid can be realized in V2G mode. The charge and discharge function could be used to restrains load fluctuation when the electric vehicle is put into large scale application. In the premise of electric vehicle＇s large scale application, the electric vehicle is classified, and the private electric vehicle is made to be the research target. Then the corresponding power model in one day is established, and the optimized scheduling strategy based on modified PSO is proposed. Using the strategy, the load fluctuation is restrained obviously.

关 键 词：电动汽车 功率模型 规模化应用 负荷波动 粒子群算法 

分 类 号：TM712[电气工程—电力系统及自动化]