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Study on optimal configuration of EV charging stations based on second-order cone

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  • Yin, Wanjun
  • Ji, Jianbo
  • Qin, Xuan

Abstract

The Electric Vehicle(EV) charging station frequently participates in the daily regulation and operation of the power distribution system, whether the installation position is reasonable and the configuration capacity is appropriate, it will directly affect the operation strategy and operating conditions of the distribution system, and then affect the economic and environmental benefits of the distributed power supply and EV load connected to the power grid, based on the analysis of fuel vehicles, EV travel characteristics and electrical geography coupled state, by fitting the charging data of EV with travel chain, more accurate EV charging load can be obtained. Secondly, the optimal allocation model of EV charging stations is established to optimize the grid loss, and the nonconvex problem is solved by combining the second-order cone relaxation technique with the distflow power flow model, the configuration scheme of EV charging station is obtained. Finally, taking an EV charging scene in a certain area as an example, the optimal configuration of the charging station is simulated by setting up two types of charging station: conventional charging station and conventional charging station and fast charging station, the effectiveness of the proposed configuration scheme is verified. The optimal configuration scheme of EV charging station described in this paper provides a theoretical basis for charging station planning and capacity expansion.

Suggested Citation

  • Yin, Wanjun & Ji, Jianbo & Qin, Xuan, 2023. "Study on optimal configuration of EV charging stations based on second-order cone," Energy, Elsevier, vol. 284(C).
    • Handle: RePEc:eee:energy:v:284:y:2023:i:c:s0360544223018881
    DOI: 10.1016/j.energy.2023.128494
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    References listed on IDEAS

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    2. Luo, Yichen & Xu, Xiao & Yang, Yuyan & Liu, Youbo & Liu, Junyong, 2025. "Impact of electric vehicle disordered charging on urban electricity consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 212(C).
    3. Ozan Gül, 2025. "Dynamic Load Flow in Modern Power Systems: Renewables, Crypto Mining, and Electric Vehicles," Sustainability, MDPI, vol. 17(6), pages 1-24, March.
    4. Zhang, Meijuan & Yan, Qingyou & Guan, Yajuan & Ni, Da & Agundis Tinajero, Gibran David, 2024. "Joint planning of residential electric vehicle charging station integrated with photovoltaic and energy storage considering demand response and uncertainties," Energy, Elsevier, vol. 298(C).
    5. Qin, Tianxi & Zhang, Qian & Su, Xin & Tan, Xingchen & Jin, Hui & Ye, Wentao & Zhao, Bin, 2026. "A Review and Prospects of Research on Coordinated Optimization Operation of Energy Stations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 229(C).
    6. Rasheed, M.B. & Llamazares, Ángel & Ocaña, Manuel & Revenga, Pedro, 2024. "A game-theoretic approach to mitigate charging anxiety for electric vehicle users through multi-parameter dynamic pricing and real-time traffic flow," Energy, Elsevier, vol. 304(C).
    7. Tianhua Zhang & Xin Li & Yiwen Zhang & Chenhui Shu, 2025. "Should Charging Stations Provide Service for Plug-In Hybrid Electric Vehicles During Holidays?," Sustainability, MDPI, vol. 17(1), pages 1-21, January.

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