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A privacy-protected distributed operation method for flexible distribution networks with EV charging load clusters

Author

Listed:
  • Yu, Hao
  • Zhang, Yulong
  • Qu, Jiahui
  • Ji, Haoran
  • Yu, Jiancheng
  • Song, Guanyu
  • Sun, Bing
  • Zhao, Jinli

Abstract

The large-scale integration of electric vehicle (EV) charging loads introduces significant complexity to the operation of distribution networks. The application of soft open points (SOPs) facilitates flexible distribution networks (FDNs) to achieve rapid and accurate power flow control among multiple EV charging load clusters. In addition, due to the heterogeneity of each EV charging load cluster, it is necessary to consider privacy protection. In this paper, a distributed operation method for FDNs is proposed based on proximal atomic coordination to address the privacy protection of multiple EV charging load clusters. First, the power complementarity of the EV charging load clusters is conducted based on flexible interconnection with the SOP. Then, privacy protection of the cluster is realized by encrypting the interaction information. Furthermore, considering the temporal coupling characteristics of EVs, a time-sequential cumulative injection energy model for EV charging loads is established. Finally, the proposed method is validated on a modified practical FDN with a four-terminal SOP. Case studies show that the proposed method can reduce the operating cost of FDN by 39.11 % and meet the requirements of EV charging loads with privacy protection, while facilitating flexible operation of distribution networks.

Suggested Citation

  • Yu, Hao & Zhang, Yulong & Qu, Jiahui & Ji, Haoran & Yu, Jiancheng & Song, Guanyu & Sun, Bing & Zhao, Jinli, 2025. "A privacy-protected distributed operation method for flexible distribution networks with EV charging load clusters," Energy, Elsevier, vol. 327(C).
    • Handle: RePEc:eee:energy:v:327:y:2025:i:c:s0360544225020511
    DOI: 10.1016/j.energy.2025.136409
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    References listed on IDEAS

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    1. Zhilin Lyu & Quan Liu & Bin Liu & Lijun Zheng & Jiaqi Yi & Yongfa Lai, 2022. "Optimal Dispatch of Regional Integrated Energy System Group including Power to Gas Based on Energy Hub," Energies, MDPI, vol. 15(24), pages 1-22, December.
    2. Xiao, Jun & Zu, Guoqiang & Wang, Ying & Zhang, Xinsong & Jiang, Xun, 2020. "Model and observation of dispatchable region for flexible distribution network," Applied Energy, Elsevier, vol. 261(C).
    3. Ju, Fei & Murgovski, Nikolce & Zhuang, Weichao & Hu, Xiaosong & Song, Ziyou & Wang, Liangmo, 2023. "Predictive energy management with engine switching control for hybrid electric vehicle via ADMM," Energy, Elsevier, vol. 263(PE).
    4. Murray, William & Adonis, Marco & Raji, Atanda, 2021. "Voltage control in future electrical distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    5. Yin, WanJun & Wen, Tao & Zhang, Chao, 2023. "Cooperative optimal scheduling strategy of electric vehicles based on dynamic electricity price mechanism," Energy, Elsevier, vol. 263(PA).
    6. Li, Zhikang & Ma, Chengbin, 2022. "A temporal–spatial charging coordination scheme incorporating probability of EV charging availability," Applied Energy, Elsevier, vol. 325(C).
    7. Yin, Wanjun & Ji, Jianbo & Wen, Tao & Zhang, Chao, 2023. "Study on orderly charging strategy of EV with load forecasting," Energy, Elsevier, vol. 278(C).
    8. Zhang, Pan & Mansouri, Seyed Amir & Rezaee Jordehi, Ahmad & Tostado-Véliz, Marcos & Alharthi, Yahya Z. & Safaraliev, Murodbek, 2024. "An ADMM-enabled robust optimization framework for self-healing scheduling of smart grids integrated with smart prosumers," Applied Energy, Elsevier, vol. 363(C).
    9. Dahui Yang & Xiankui Wen & Jingliang Zhong & Tingyong Feng & Tongtian Deng & Xiang Li, 2023. "Compressed Air Energy Storage System with Burner and Ejector," Energies, MDPI, vol. 16(1), pages 1-16, January.
    10. Haider, Sajjad & Rizvi, Rida e Zahra & Walewski, John & Schegner, Peter, 2022. "Investigating peer-to-peer power transactions for reducing EV induced network congestion," Energy, Elsevier, vol. 254(PB).
    11. Mandev, Ahmet & Plötz, Patrick & Sprei, Frances & Tal, Gil, 2022. "Empirical charging behavior of plug-in hybrid electric vehicles," Applied Energy, Elsevier, vol. 321(C).
    12. Yin, Wanjun & Ji, Jianbo, 2024. "Research on EV charging load forecasting and orderly charging scheduling based on model fusion," Energy, Elsevier, vol. 290(C).
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