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A prosumer reliability-enhanced method coupling post-fault reconfiguration and P2P trading

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Listed:
  • Li, Junkai
  • Ge, Shaoyun
  • Liu, Hong
  • He, Xingtang
  • Hou, Tingyu
  • Wang, Liyong
  • Ren, Zhihao
  • Wang, Chengshan

Abstract

Emerging market-based mechanims provide an effective way to satisfy consumers' differentiated reliability preferences and improve system reliability level. However, these mechanisms also increase the difficulty in determining the optimal post-fault network topology. To address the issues, this paper develops a prosumer reliability-enhanced method coupling post-fault reconfiguration and peer-to-peer (P2P) trading. Specifically, a bi-level optimization model is proposed where comprehensive cost paid by distribution system operator (DSO) is minimized in the upper level and prosumers' post-fault payoffs are maximized through multi‑leaders multi-followers (MLMF) game in the lower level. Then, a hierarchical distributed algorithm is designed to protect prosumers privacy in post-fault reconfiguration and P2P trading simultaneously. Numerical results authenticate that the proposed reliability enhancement method increases total social welfare and achieves win-win situation between DSO and prosumers.

Suggested Citation

  • Li, Junkai & Ge, Shaoyun & Liu, Hong & He, Xingtang & Hou, Tingyu & Wang, Liyong & Ren, Zhihao & Wang, Chengshan, 2025. "A prosumer reliability-enhanced method coupling post-fault reconfiguration and P2P trading," Applied Energy, Elsevier, vol. 377(PA).
    • Handle: RePEc:eee:appene:v:377:y:2025:i:pa:s0306261924017379
    DOI: 10.1016/j.apenergy.2024.124354
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    References listed on IDEAS

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    1. Wei, F. & Jing, Z.X. & Wu, Peter Z. & Wu, Q.H., 2017. "A Stackelberg game approach for multiple energies trading in integrated energy systems," Applied Energy, Elsevier, vol. 200(C), pages 315-329.
    2. Chen, Biyun & Chen, Yanni & Zhou, Hengwang & Bai, Xiaoqing & Li, Bin & Guo, Xiaoxuan, 2023. "A Bi-level gaming programming for regional integrated energy system considering the users’ reliability incentive," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    3. Chen, Xi & Liu, Boxuan & Qiu, Jing & Shen, Wei & Reedman, Luke & Dong, Zhao Yang, 2021. "A new trading mechanism for prosumers based on flexible reliability preferences in active distribution network," Applied Energy, Elsevier, vol. 283(C).
    4. Jafari, Amirreza & Ganjeh Ganjehlou, Hamed & Khalili, Tohid & Bidram, Ali, 2020. "A fair electricity market strategy for energy management and reliability enhancement of islanded multi-microgrids," Applied Energy, Elsevier, vol. 270(C).
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