• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2016, Vol. 37 ›› Issue (9): 36-.doi: 10.3969/j.issn.1000-7229.2016.09.005

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

TAN Yangyang,YANG Honggeng,XU Fangwei,ZHANG Xi   

  1. School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China
  • Online:2016-09-01
  • Supported by:
    Project supported by National Natural Science Foundation of China(51377111)

Abstract: 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.

Key words: electric vehicle, charging station planning, fuzzy matter-element theory, entropy method, gray correlation analysis method, weighted gray relational degree

CLC Number: