| Issue |
MATEC Web Conf.
Volume 100, 2017
13th Global Congress on Manufacturing and Management (GCMM 2016)
|
|
|---|---|---|
| Article Number | 03030 | |
| Number of page(s) | 7 | |
| Section | Part 3: Manufacturing innovation and Advanced manufacturing technology | |
| DOI | https://doi.org/10.1051/matecconf/201710003030 | |
| Published online | 08 March 2017 | |
A Novel Assessment Method of Charging Station Planning Based on Fuzzy Matter Element Theory
1 State Grid Shanxi Electric Power Company, Taiyuan, China
2 School of Electrical Engineering and Information, Sichuan University, Chengdu, China
* Corresponding Email: tyy13683448505@136.com
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.
Key words: Charging station planning / Fuzzy matter element theory / Entropy method / Gray correlation analysis method / Gray relational weighing degree
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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