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电动汽车快充对配电网的风险研究
引用本文:侯慧,徐焘,柯贤彬,薛梦雅,李正天,王成智.电动汽车快充对配电网的风险研究[J].电力系统保护与控制,2019,47(16):87-93.
作者姓名:侯慧  徐焘  柯贤彬  薛梦雅  李正天  王成智
作者单位:武汉理工大学自动化学院,湖北 武汉,430070;国网电科院武汉南瑞有限责任公司,湖北 武汉,430074;华中科技大学电气与电子工程学院,湖北 武汉,430070;国网湖北省电力公司运检部,湖北 武汉,430077
基金项目:国家自然科学基金项目资助(E070403)
摘    要:电动汽车快速充电行为将会对电网产生巨大的影响,探讨电动汽车快充对电网的安全风险具有重要意义。考虑电动汽车接入对电网的影响,从多方面风险指标体系出发,建立立体化的风险指标。通过K-L变换进行信息融合,并运用基于多属性决策的节点重要性综合评价方法进行综合评价,得到各电动汽车占有率下的电网综合风险排序。研究结果表明:通过综合风险评估方法得到,不考虑电动汽车带来的经济收益时,电动汽车随着占有率的增大,对电网带来的风险越来越大;当考虑电动汽车带来的经济收益后,电网的风险会在某个区间相对更大,对某一区域的快充电动汽车容纳数量具有一定的指导意义。

关 键 词:电动汽车  快速充电  风险指标  K-L变换  综合评价
收稿时间:2018/8/28 0:00:00
修稿时间:2018/9/29 0:00:00

Research on risks of electric vehicle charging to distribution network
HOU Hui,XU Tao,KE Xianbin,XUE Mengy,LI Zhengtian and WANG Chengzhi.Research on risks of electric vehicle charging to distribution network[J].Power System Protection and Control,2019,47(16):87-93.
Authors:HOU Hui  XU Tao  KE Xianbin  XUE Mengy  LI Zhengtian and WANG Chengzhi
Affiliation:Institute of Automation, Wuhan University of Technology, Wuhan 430070, China,Institute of Automation, Wuhan University of Technology, Wuhan 430070, China,Wuhan Nanrui Electric Co., Ltd., State Grid Electric Power Research Institute, Wuhan 430074, China,Institute of Automation, Wuhan University of Technology, Wuhan 430070, China,School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430070, China and Operation and Maintenance Department, State Grid Hubei Electric Power Company, Wuhan 430077, China
Abstract:The rapid charging behavior of electric vehicles will have a huge impact on the power grid. It is of great significance to investigate the fast charge of electric vehicles on the safety risk of power grids. Considering the impact of electric vehicle access on the power grid, a multi-faceted risk indicator system is established to establish three-dimensional risk indicators. Information fusion is performed through K-L transformation, and a comprehensive evaluation method of nodal importance based on multi-attribute decision-making is used to evaluate comprehensively. The comprehensive risk ranking of the grid under the share of electric vehicles is got. The results of the study show that through comprehensive risk assessment methods, excluding the economic benefits brought by electric vehicles, electric vehicles will become more and more dangerous with the increase in occupancy rate; when electric vehicles are considered after the economic benefits, the risk of the power grid will be relatively larger in a certain interval, which has a certain guiding significance for the number of fast-charged vehicles in a certain area. This work is supported by National Natural Science Foundation of China (No. E070403).
Keywords:electric vehicle  rapid charging  risk index  K-L transform  comprehensive evaluation
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