A Novel Assessment Method of Charging Station Planning Based on Fuzzy Matter Element Theory

• Main Authors: Zhao Junyi, Yang Chaoying, Xue Zhiwei, Tan Yangyang
• Format: Article
• Language: English
• Published: EDP Sciences 2017-01-01
• Series: MATEC Web of Conferences
• Subjects: Charging station planning; Fuzzy matter element theory; Entropy method; Gray correlation analysis method; Gray relational weighing degree
• Online Access: https://doi.org/10.1051/matecconf/201710003030

Scientific and rational planning of urban electric vehicles (EVs) charging station is an important prerequisite for large scale EVs interact with smart grid friendly. This article realizes the planning assessment of EV charging station based on fuzzy matter element theory. The features of urban EV charging station are analyzed, and the evaluation index system of alternative charging station is established. The paper applies fuzzy matter element analysis method to obtain the optimal fuzzy matter element sequence with alternative points, and as a reference sequence. The weights of alternative points corresponding evaluation index are obtained by entropy method. Then, the paper applies the gray correlation analysis to calculate the gray relational weighing degree of fuzzy matter element sequence of alternative points, and determine the EV charging station plan based on the size of gray relational weighing degree. Finally, the simulation results show that the proposed method is effective and feasible for EV charging station planning.