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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Cong Zhang & Qun Gao & Ke Peng & Yan Jiang, 2023. "An EV Charging Guidance Strategy Based on the Hierarchical Comprehensive Evaluation Method," Energies, MDPI, vol. 16(7), pages 1-16, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:3113-:d:1110826
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    References listed on IDEAS

    as
    1. Yedluri Anil Kumar & Hee-Je Kim, 2018. "Effect of Time on a Hierarchical Corn Skeleton-Like Composite of CoO@ZnO as Capacitive Electrode Material for High Specific Performance Supercapacitors," Energies, MDPI, vol. 11(12), pages 1-16, November.
    2. Kakillioglu, Emre Anıl & Yıldız Aktaş, Melike & Fescioglu-Unver, Nilgun, 2022. "Self-controlling resource management model for electric vehicle fast charging stations with priority service," Energy, Elsevier, vol. 239(PC).
    3. Luo, Yugong & Zhu, Tao & Wan, Shuang & Zhang, Shuwei & Li, Keqiang, 2016. "Optimal charging scheduling for large-scale EV (electric vehicle) deployment based on the interaction of the smart-grid and intelligent-transport systems," Energy, Elsevier, vol. 97(C), pages 359-368.
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