LAPSE:2018.0890
Published Article
LAPSE:2018.0890
Optimal Site Selection of Electric Vehicle Charging Stations Based on a Cloud Model and the PROMETHEE Method
Yunna Wu, Meng Yang, Haobo Zhang, Kaifeng Chen, Yang Wang
November 27, 2018
The task of site selection for electric vehicle charging stations (EVCS) is hugely important from the perspective of harmonious and sustainable development. However, flaws and inadequacies in the currently used multi-criteria decision making methods could result in inaccurate and irrational decision results. First of all, the uncertainty of the information cannot be described integrally in the evaluation of the EVCS site selection. Secondly, rigorous consideration of the mutual influence between the various criteria is lacking, which is mainly evidenced in two aspects: one is ignoring the correlation, and the other is the unconscionable measurements. Last but not least, the ranking method adopted in previous studies is not very appropriate for evaluating the EVCS site selection problem. As a result of the above analysis, a Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) method-based decision system combined with the cloud model is proposed in this paper for EVCS site selection. Firstly, the use of the PROMETHEE method can bolster the confidence and visibility for decision makers. Secondly, the cloud model is recommended to describe the fuzziness and randomness of linguistic terms integrally and accurately. Finally, the Analytical Network Process (ANP) method is adopted to measure the correlation of the indicators with a greatly simplified calculation of the parameters and the steps required.
Keywords
Analytical Network Process (ANP), charging stations for electric vehicles, cloud model, Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), site selection
Suggested Citation
Wu Y, Yang M, Zhang H, Chen K, Wang Y. Optimal Site Selection of Electric Vehicle Charging Stations Based on a Cloud Model and the PROMETHEE Method. (2018). LAPSE:2018.0890
Author Affiliations
Wu Y: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Yang M: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Zhang H: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Chen K: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Wang Y: School of Economics and Management, North China Electric Power University, Beijing 102206, China
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Journal Name
Energies
Volume
9
Issue
3
Article Number
E157
Year
2016
Publication Date
2016-03-03
Published Version
ISSN
1996-1073
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PII: en9030157, Publication Type: Journal Article
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LAPSE:2018.0890
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doi:10.3390/en9030157
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Nov 27, 2018
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Nov 27, 2018
 
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Calvin Tsay
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