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A framework for prosumer-centric peer-to-peer energy trading using network-secure export–import limits

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  • Hoque, Md Murshadul
  • Khorasany, Mohsen
  • Azim, M. Imran
  • Razzaghi, Reza
  • Jalili, Mahdi

Abstract

This paper presents a new prosumer-centric peer-to-peer (P2P) energy trading framework incorporating the network-secure export–import limits, known as dynamic operating envelope (DOE), for prosumers considering their preferences to trade in the local market. In the proposed framework, a DOE-integrated energy management algorithm is developed for prosumers considering electric vehicles (EVs) charge–discharge and photovoltaic (PV) systems. The framework allows prosumers to operate within defined DOE, aligning with the preferences of EV-owning prosumers by managing the desired EV battery charge levels at their departure. An auction-based P2P energy trading mechanism for prosumers is proposed incorporating the allocated DOE to ensure secure network operation and valuing prosumers’ preferences to benefit them. The proposed framework is implemented on a 78-node low-voltage (LV) residential distribution network to evaluate its performance. The results and comparative analyses verify the effectiveness of the proposed framework in addressing network issues such as voltage and line congestion problems, meeting prosumers’ preferences in asset management, and providing benefits to all participants in the energy trading process.

Suggested Citation

  • Hoque, Md Murshadul & Khorasany, Mohsen & Azim, M. Imran & Razzaghi, Reza & Jalili, Mahdi, 2024. "A framework for prosumer-centric peer-to-peer energy trading using network-secure export–import limits," Applied Energy, Elsevier, vol. 361(C).
    • Handle: RePEc:eee:appene:v:361:y:2024:i:c:s0306261924002897
    DOI: 10.1016/j.apenergy.2024.122906
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    References listed on IDEAS

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    1. Li, Junkai & Ge, Shaoyun & Xu, Zhengyang & Liu, Hong & Li, Jifeng & Wang, Chengshan & Cheng, Xueying, 2023. "A network-secure peer-to-peer trading framework for electricity-carbon integrated market among local prosumers," Applied Energy, Elsevier, vol. 335(C).
    2. Ruan, Hebin & Gao, Hongjun & Gooi, Hoay Beng & Liu, Junyong, 2022. "Active distribution network operation management integrated with P2P trading," Applied Energy, Elsevier, vol. 323(C).
    3. Tarashandeh, Nader & Karimi, Ali, 2024. "Peer-to-peer energy trading under distribution network constraints with preserving independent nature of agents," Applied Energy, Elsevier, vol. 355(C).
    4. Wang, Juan & Zheng, Junjun & Yu, Liukai & Goh, Mark & Tang, Yunying & Huang, Yongchao, 2023. "Distributed Reputation-Distance iterative auction system for Peer-To-Peer power trading," Applied Energy, Elsevier, vol. 345(C).
    5. Xia, Yuanxing & Xu, Qingshan & Li, Fangxing, 2023. "Grid-friendly pricing mechanism for peer-to-peer energy sharing market diffusion in communities," Applied Energy, Elsevier, vol. 334(C).
    6. Zabihinia Gerdroodbari, Yasin & Khorasany, Mohsen & Razzaghi, Reza & Heidari, Rahmat, 2024. "Management of prosumers using dynamic export limits and shared Community Energy Storage," Applied Energy, Elsevier, vol. 355(C).
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    Cited by:

    1. Lepistö, Juhani & Forcan, Jovana & Forcan, Miodrag, 2024. "Exploring optimal market operations and grid effects in an office building energy community: A case study," Renewable Energy, Elsevier, vol. 231(C).
    2. Kisal Kawshika Gunawardana Hathamune Liyanage & Shama Naz Islam, 2024. "Comparative Analysis of Market Clearing Mechanisms for Peer-to-Peer Energy Market Based on Double Auction," Energies, MDPI, vol. 17(22), pages 1-17, November.
    3. Jiang, Zhisen & Guo, Ye & Wang, Jianxiao, 2025. "Dynamic operating envelopes embedded peer-to-peer-to-grid energy trading," Applied Energy, Elsevier, vol. 377(PB).

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