多优化目标下无线充电电动汽车与风电协同调度研究  

Research on Coordination Scheduling of Wireless Charging Electric Vehicle and Wind Power under Multi-objective Optimization

作　　者：赵文瑄 汤宗尧 谭林林[1] 王松岑[2] 刘健 ZHAO Wenxuan;TANG Zongyao;TAN Linlin;WANG Songcen;LIU Jian(Electrical Engineering School Southeast University,Nanjing 210096,China;China Electric Power Research Institute,Beijing 100192,China;State Grid Fuyang Power Supply Company,Fuyang 236017,China)

机构地区：[1]东南大学,江苏南京210096 [2]中国电力科学研究院,北京100192 [3]国网安徽省电力有限公司阜阳供电公司,安徽阜阳236017

出　　处：《供用电》2018年第9期22-27,68,共7页Distribution & Utilization

基　　金：国家自然科学基金(51777028);国家电网公司科技项目"电动汽车无线充电频率选择及其对环境影响研究"~~

摘　　要：无线充电技术具有安全环保、全自动、免维护等一系列优点,是未来电动汽车充电技术的发展趋势之一。目前,针对电动汽车的优化调度问题,国内外已取得了许多研究成果,但这些研究工作都是在基于电动汽车有线充电的方式下进行的,并未考虑电动汽车无线充电方式的特性。文章建立了基于无线充电方式下电动汽车与风电的多目标优化调度模型。该模型以风电功率波动最小、用户充电成本最小以及用户用电满意度最高为目标,优化控制各时段电动汽车的充电功率,并采用NSGA-2算法进行求解。最后,以IEEE33节点配电系统为例分析了无线和有线充电方式对协同调度效果的影响。Wireless charging is one of the development trends of electric vehicle charging technology in the future owing to its merits such as safety,environmental-friendly,automatic and maintenance-free.At present,many research results have been obtained at home and aboard for the optimal scheduling problem of electric vehicle.However,these research work is carried out on the wired charging mode of electric vehicle and does not consider the characteristics of the wireless charging mode of electric vehicle.This paper establishes a multi-objective optimal scheduling model for electric vehicle and wind power based on wireless charging.This model optimizes the charging power of electric vehicles in each period with the minimum wind power fluctuation,the minimum user charging cost and the highest user satisfaction,and the NSGA-2 algorithm is used to solve the problem.Finally,the IEEE33 node power distribution system is taken as an example to analyze the impact of wireless and wired charging methods on coordination scheduling.

关 键 词：无线充电 电动汽车 协同调度 多目标优化 NSGA-2算法 

分 类 号：TM71[电气工程—电力系统及自动化]