基于云重心理论的电动汽车充电站选址方法  

EV Charging Station Sitting Method Based on Cloud Focus Theory

作　　者：彭泽君[1] 兰剑[1] 陈艳[1] 邹芹[1] 贾乐刚 杨军[2] 

机构地区：[1]武汉供电公司,武汉市430010 [2]武汉大学电气工程学院,武汉市430072

出　　处：《电力建设》2015年第4期1-7,共7页Electric Power Construction

基　　金：国家自然科学基金项目(51277135)~~

摘　　要：对于电动汽车充电站的建设,前期选址工作直接影响到后期充电站的运营效益、服务质量等方面,因此必须采用科学的方法进行评估和决策。综合考虑影响充电站选址的相关因素,建立电动汽车充电站选址评估指标体系,提出基于云重心理论的电动汽车充电站选址规划评估方法,将定量指标和定性指标分别进行处理并建立相应的云模型,应用加权偏离度来评判充电站地址偏离理想状态的程度,并依据评语集给出评估结果。以某地区10个备选电动汽车充电站站址为例进行计算可知:该方法能够全面考虑充电站选址的相关因素,综合处理定量指标和定性指标,从而确定充电站的最优建站地址,为充电站选址规划提供了科学依据。For the construction of electric vehicle（ EV） charging station,the sitting of EV charging station is very important to the operation benefit,the service quality,etc. So it is necessary to use scientific method for the evaluation and decision of EV charging station sitting. Comprehensively considering the related factors of the charging station sitting,this paper constructed the evaluation index system for the sitting of EV charging station,proposed the planning evaluation method based on the cloud focus theory,and used quantitative index and qualitative index to process and build corresponding cloud models,respectively. The w eighting deviation degree w as introduced to judge the deviation degree of EV charging station from the ideal position,and the assessment results could be obtained according to the remark set. Taking ten alternative locations of EV charging station as examples,the calculation results show that the proposed method can comprehensively consider the related factors of the charging station sitting and process quantitative index and qualitative index,then,determine the optimal location of charging station,w hich can provide scientific basis for charging station sitting planning.

关 键 词：电动汽车 充电站选址 云重心理论 加权偏离度 

分 类 号：TM715[电气工程—电力系统及自动化] U469.72[机械工程—车辆工程]