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Electric Vehicle and Soft Open Points Co-Planning for Active Distribution Grid Flexibility Enhancement

Author

Listed:
  • Jie Fang

    (College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China)

  • Wenwu Li

    (College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
    Hubei Key Laboratory of Cascaded Hydropower Stations Operation and Control, China Three Gorges University, Yichang 443002, China)

  • Dunchu Chen

    (College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China)

Abstract

With the increasing penetration of distributed generation (DG), the supply–demand imbalance and voltage overruns in the distribution network have intensified, and there is an urgent need to introduce flexibility resources for regulation. This paper proposes co-planning of electric vehicles (EVs) and soft opening points (SOPs) to improve the flexibility of the active distribution network, thereby improving the economics and flexibility of the distribution network. Firstly, this paper establishes a charging pile day-ahead dispatchable prediction model and a real-time dispatchable potential assessment model through Monte Carlo sampling simulation. It replaces the traditional energy storage model with this model and then solves the EV and SOP collaborative planning model using a second-order conical planning algorithm with the objective function of minimizing the annual integrated cost. At the same time, the flexibility of the distribution network is analyzed by two indicators: power supply and demand balance and branch load margin. Finally, the optimization method proposed in this paper is analyzed and validated on an improved IEEE 33-node distribution system. Example results show that the planning method proposed in this paper can effectively reduce the annual comprehensive operating cost of distribution networks, meet the flexibility index, and be conducive to improving the economy and flexibility of distribution network operation.

Suggested Citation

  • Jie Fang & Wenwu Li & Dunchu Chen, 2025. "Electric Vehicle and Soft Open Points Co-Planning for Active Distribution Grid Flexibility Enhancement," Energies, MDPI, vol. 18(3), pages 1-15, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:3:p:694-:d:1582623
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    References listed on IDEAS

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    1. Cao, Wanyu & Wu, Jianzhong & Jenkins, Nick & Wang, Chengshan & Green, Timothy, 2016. "Operating principle of Soft Open Points for electrical distribution network operation," Applied Energy, Elsevier, vol. 164(C), pages 245-257.
    2. Junyu Liang & Jun Zhou & Xingyu Yuan & Wei Huang & Xinyong Gong & Guipeng Zhang, 2024. "An Active Distribution Network Voltage Optimization Method Based on Source-Network-Load-Storage Coordination and Interaction," Energies, MDPI, vol. 17(18), pages 1-18, September.
    3. Yongqiang Kang & Gang Lu & Meng Chen & Xinglong Li & Shuaibing Li, 2025. "Collaborative Optimization of Direct Current Distribution Network Based on Scaled Electric Vehicles Charging and Discharging and Soft Open Points Topology Reconfiguration," Energies, MDPI, vol. 18(2), pages 1-18, January.
    4. Zhichun Yang & Fan Yang & Huaidong Min & Yu Shen & Xu Tang & Yun Hong & Liang Qin, 2023. "A Local Control Strategy for Voltage Fluctuation Suppression in a Flexible Interconnected Distribution Station Area Based on Soft Open Point," Sustainability, MDPI, vol. 15(5), pages 1-13, March.
    5. Cao, Wanyu & Wu, Jianzhong & Jenkins, Nick & Wang, Chengshan & Green, Timothy, 2016. "Benefits analysis of Soft Open Points for electrical distribution network operation," Applied Energy, Elsevier, vol. 165(C), pages 36-47.
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