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基于两级充电管理系统的电动汽车智能充电控制系统研究
作者姓名:张军  韩华春  原增泉
作者单位:中国建筑第八工程局有限公司, 北京 100190;国网江苏省电力公司电力科学研究院,江苏 南京 211103;中国科学院电工研究所,北京 100190
摘    要:随着电动汽车的发展,电动汽车大规模的无序充电将对现有电网的稳定性造成潜在威胁。如果仅以现有电网扩容作为解决方法,不仅需要大量的投资,且在低负荷时会造成容量的浪费。文中提出了一种基于两级电动汽车充电管理系统(electric vehicles charging management system,EVCMS)的优化算法,在满足充电需求的前提下,通过合理调配充电时段和充电速率,来优化需求侧管理,减少电动汽车充电对电网的冲击。该优化算法的影响因素主要包括实时电价、电池剩余容量、电网侧负荷容量和充电时段等。

关 键 词:电动汽车|EVCMS|充电终端|模糊控制
收稿时间:2017/4/16 0:00:00
修稿时间:2017/5/20 0:00:00

Smart Charging Control Electrical VehiclesBased on Two-level Charge Management System
Authors:ZHANG Jun  HAN Huachun  YUAN Zengquan
Affiliation:China Construction Eighth Engineering Division Co., Ltd, Beijing 100190, China;State Grid Jiangsu Electric Power Company Research Institute, Nanjing 211103, China; Institute of Electrical Engineering CAS, Beijing 100190, China
Abstract:The application of large-scale eectric vehicles (EVs) poses a threat to grid stability if charged without control. It needs expansion of the grid capacity and leads to major investment in current grid and capacity-wasting in low-load time. This paper proposes a solution based on two-level electric vehicles charging management system (EVCMS) to optimal demand side management by means of scheduling charging time and setting charging rates. The influence factors for power management include electricity prices, state-of-charge (SOC) of the battery, electricity available, park duration and others. All these can be achieved through charge terminals (CTs)
Keywords:electric vehicle|EVCMS|CTs|fuzzy inference
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