电动汽车充电站规划方案的模糊物元评估方法  

Fuzzy Matter-Element Assessment Method of Electric Vehicle Charging Station Planning

作　　者：谭洋洋[1] 杨洪耕[1] 徐方维[1] 张曦[1] 

机构地区：[1]四川大学电气信息学院,成都市610065

出　　处：《电力建设》2016年第9期36-42,共7页Electric Power Construction

基　　金：国家自然科学基金项目(51377111)~~

摘　　要：科学合理地规划城市电动汽车充电站是大规模电动汽车与智能电网友好互动的重要前提。基于模糊物元理论实现电动汽车充电站规划方案评估。分析了城市电动汽车充电站规划特征,构建了备选充电站评价指标体系。利用模糊物元分析法求解多个备选点的最优模糊物元序列,并将该序列作为参考序列。采用熵权法获得备选点对应评价指标的权重,通过灰色关联分析法计算备选点的加权灰色关联度,并依据关联度大小确定电动汽车充电站规划方案。最后,算例仿真结果验证了所提方法的合理性和可行性。The scientific and rational planning of urban electric vehicles （EVs） charging station is an important prerequisite for large-scale EVs interacting with smart grid friendly. This paper realizes the planning assessment of EV charging station based on fuzzy matter-element theory. We analyze the features of urban EV charging station, and establish the evaluation index system for alternative charging station. We adopt fuzzy-matter element analysis method to obtain the optimal fuzzy matter-element sequence with alternative points, which is taken as a reference sequence. Then, we use the entropy method to obtain the weights of alternative points corresponding evaluation index, calculate the weighted gray relational degree of alternative points through gray correlation analysis method, and determine the planning scheme of EV charging station based on the size of correlation degree. Finally, the simulation results verify the rationality and feasibility of the proposed method.

关 键 词：电动汽车 充电站规划 模糊物元理论 熵权法 灰色关联分析法 加权灰色关联度 

分 类 号：TM71[电气工程—电力系统及自动化] U469.72[机械工程—车辆工程]