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Research on the Planning of Electric Vehicle Fast Charging Stations Considering User Selection Preferences

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  • Julong Chen

    (School of Electricity, South China University of Technology, Guangzhou 510641, China)

  • Haoyong Chen

    (School of Electricity, South China University of Technology, Guangzhou 510641, China)

Abstract

The global energy and environmental crisis promotes the development of electric vehicles (EVs), and the rational planning of EV fast charging stations is an important influencing factor for their development. In this paper, for the EV fast charging station capacity planning problem, a joint-optimization model for optimal planning of EV fast charging stations and the economic operation of a distribution network is constructed, considering the impact of user preference selection and EV access on the regional distribution network. To address the problems of low efficiency and local convergence found in traditional heuristic optimization algorithms, an improved krill swarm optimization algorithm (CKHA) that introduces chaotic optimization parameters to make the initial population as uniformly distributed as possible is proposed to find the optimal planning scheme for EV fast charging stations. The case results show that the optimal planning model and its solution method are effective.

Suggested Citation

  • Julong Chen & Haoyong Chen, 2023. "Research on the Planning of Electric Vehicle Fast Charging Stations Considering User Selection Preferences," Energies, MDPI, vol. 16(4), pages 1-21, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1794-:d:1065306
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    References listed on IDEAS

    as
    1. Weicheng Hou & Qingsong Luo & Xiangdong Wu & Yimin Zhou & Gangquan Si & Ramon Costa-Castelló, 2021. "Multiobjective Optimization of Large-Scale EVs Charging Path Planning and Charging Pricing Strategy for Charging Station," Complexity, Hindawi, vol. 2021, pages 1-17, February.
    2. Arijit Ghosh & Neha Ghorui & Sankar Prasad Mondal & Suchitra Kumari & Biraj Kanti Mondal & Aditya Das & Mahananda Sen Gupta, 2021. "Application of Hexagonal Fuzzy MCDM Methodology for Site Selection of Electric Vehicle Charging Station," Mathematics, MDPI, vol. 9(4), pages 1-27, February.
    3. Christos Karolemeas & Stefanos Tsigdinos & Panagiotis G. Tzouras & Alexandros Nikitas & Efthimios Bakogiannis, 2021. "Determining Electric Vehicle Charging Station Location Suitability: A Qualitative Study of Greek Stakeholders Employing Thematic Analysis and Analytical Hierarchy Process," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    4. José F. C. Castro & Davidson C. Marques & Luciano Tavares & Nicolau K. L. Dantas & Amanda L. Fernandes & Ji Tuo & Luiz H. A. de Medeiros & Pedro Rosas, 2022. "Energy and Demand Forecasting Based on Logistic Growth Method for Electric Vehicle Fast Charging Station Planning with PV Solar System," Energies, MDPI, vol. 15(17), pages 1-21, August.
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