考虑多方利益的居民小区电动汽车有序充电策略  

A coordinated charging strategy for electric vehicles in residential communities considering multiple interests

作　　者：肖建康 邱晓燕[1] 潘胤吉 吴甲武 Xiao Jiankang;Qiu Xiaoyan;Pan Yinji;Wu Jiawu(Intelligent Electric Power Grid Key Laboratory of Sichuan Province, School of Electrical Engineering and Information, Sichuan University, Chengdu 610065,China)

机构地区：[1]四川大学电气信息学院智能电网四川省重点实验室

出　　处：《电测与仪表》2019年第10期1-7,26,共8页Electrical Measurement & Instrumentation

基　　金：四川省科技厅重点研发项目(2017FZ0103)

摘　　要：随着电动汽车的普及率越来越高,电动汽车规模化接入将给电力系统的稳定运行带来风险和负担,如何进行移峰填谷、减小负荷波动成了当今电网非常关注的一个问题。对此,文中提出了一种上层优化指导曲线和下层实时负荷跟随相结合的实时优化模型。在上层总控中心,基于典型日常规负荷曲线和车辆出行预测数据,建立了以总负荷(常规负荷和E V充电负荷)峰谷差最小为目标的优化模型,得出一条电动汽车充电功率指导曲线;在下层智能控制中心,根据返回E V的状态和充电需求,计算 E V充电优先级,以上层优化得到的功率指导曲线为跟随目标,来指导电动汽车的有序充电,实现负荷跟随。然后以某小区的常规负荷数据和E V用户出行的概率模型数据进行充电模拟,计算出相关的指标,与无序充电的结果进行对比。仿真结果表明,此有序充电控制策略能够有效地实现 E V充电负荷的移峰填谷、降低负荷波动,同时也能够增加代理商的充电服务收益,满足用户的充电需求。As the penetration of electric vehicles is higher and higher,the charging of large-scale electric vehicles will bring risk and burden to the stable operation of power system. Therefore,it has become a striking problem for power grids to shift peak load and reduce load fluctuations. In this paper,a real-time optimization model is proposed,in which the upper optimizes guidance curve and the lower realizes load real-time following. The upper master control center,based on typical daily routine load curve and vehicle travel forecast data,establishes a optimization with the minimum of total load( normal load and EV charging load) peak valley,draws a optimization guide curve. The lower intelligent control center calculates EV charging priority according to the condition and charging demand of the returned EV,and the electric vehicles guide to charge in order following the power guide curve optimized in the upper. Then,the conventional load data of a community and the probability model data of EV users travel were used to simulate the charging,and the related indicators were calculated and compared with the results of unordered charging. Orderly charge simulation results show that this control strategy can effectively achieve the EV charging load peak shift,to reduce the load fluctuation,meanwhile,it also can increase the recharge of the agent service revenue,as well as meet the requirements of charging users.

关 键 词：电动汽车 有序充电 指导曲线 负荷跟随 移峰填谷 

分 类 号：TM93[电气工程—电力电子与电力传动]