智能电网中电动汽车快速有序充电实时电价优化方法  

Optimization of Spot Power Price in Coordinated Fast Charging Model of Electric Vehicles

作　　者：唐小波[1] 赵彩虹[1] 吴薛红[1] 张娟[2] 

机构地区：[1]南京师范大学电气与自动化工程学院,江苏南京210042 [2]金陵科技学院人文学院,江苏南京211100

出　　处：《南京师范大学学报（工程技术版）》2013年第4期13-18,共6页Journal of Nanjing Normal University(Engineering and Technology Edition)

基　　金：江苏省高校自然科学研究项目(10KJB470008)

摘　　要：针对智能电网中电动汽车的有序充电调度问题,提出了用电价杠杆调节电动汽车快充负荷的实时电价机制,引入了愿望度模型,以电网负荷峰谷差最小为目标函数,充电站愿望度和用户愿望度为约束条件,建立了优化数学模型,并通过遗传算法对该优化模型进行求解.最后基于某地区2020年的预测数据进行算例仿真,结果表明,提出的实时电力定价机制可以有效降低峰谷差,保障充电站利益,满足用户充电需求,达到电网、充电站和用户的共赢.Aiming at the order charging scheduling problem of the electric vehicles in the intelligent grids,a spot power pricing mechanism as a lever of regulating electricity is proposed to dispatch electric vehicle fast charging load. Considering the peak load shifting effect of grid, the benefit of charging station and the desire of customer, the mathematics model of optimization is founded. And a genetic algorithm is used to solve this problem of the model of opti-mization. Finally,a simulation based on an area＆#39;s predicted data of year 2020 is made to show that the proposed method can lower the peak-valley difference,promise charging station benefit and meet customers＆#39;desires,as well as achieve a win-win result of the grid,the charging stations and the users.

关 键 词：电动汽车 快速充电 实时电价 愿望模型 

分 类 号：TM912[电气工程—电力电子与电力传动]