An EV Charging Guidance Strategy Based on the Hierarchical Comprehensive Evaluation Method

Cong Zhang, Qun Gao (), Ke Peng and Yan Jiang
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Cong Zhang: School of Electrical Electronic Engineering, Shandong University of Technology, Zibo 255020, China
Qun Gao: School of Business, Shandong University of Technology, Zibo 255000, China
Ke Peng: School of Electrical Electronic Engineering, Shandong University of Technology, Zibo 255020, China
Yan Jiang: School of Electrical Electronic Engineering, Shandong University of Technology, Zibo 255020, China

Energies, 2023, vol. 16, issue 7, 1-16

Abstract: With the increasing number of electric vehicles (EVs), the randomness of the charging load will have an increasing impact on the distribution network (DN) and road network. Different guidance strategies lead to different network-related capabilities of fast charging stations (FCSs). In this paper, a hierarchical and comprehensive evaluation method is proposed for the network-related capability of FCSs. Based on the comprehensive evaluation method, a charging guidance strategy is proposed to improve the network-related capability of FCSs. Finally, the network connection capability of FCSs under four strategies is comprehensively evaluated to verify the effectiveness of the proposed method.

Keywords: fast charging station; electric vehicles; analytic hierarchy process; the entropy weight method; fuzzy comprehensive evaluation method; charging guidance strategy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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