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Active distribution network operation management integrated with P2P trading

Author

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  • Ruan, Hebin
  • Gao, Hongjun
  • Gooi, Hoay Beng
  • Liu, Junyong

Abstract

With the steady development of electricity trading market, active distribution networks (ADNs) need to face new challenges in operation management. Meanwhile, the traditional operation management with peer-to-peer (P2P) trading leads to a heavy computational burden due to a great number of prosumers. An operation management model for large-scale distribution networks integrated with P2P trading is proposed in this paper, where network usage fees are specially addressed. To simplify the management of the P2P trading market, the trading agent is introduced into the P2P trading platform. In addition, this model is adaptive to the reconfiguration of ADN, so the operation management system and the corresponding market structure can be automatically updated according to the new network topology. As shown in case studies, the total trading amount in the P2P trading market can increase by about 62MWh by adjusting the unit price of network usage fees, and the computational time can decline by about 77% in a practical-scale 152-bus system. Also, the total trading amount can be doubled approximately, and the computational time can be reduced by about 85% in the IEEE 8500-bus system.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:appene:v:323:y:2022:i:c:s0306261922009345
    DOI: 10.1016/j.apenergy.2022.119632
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    References listed on IDEAS

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    1. Umer, Khalid & Huang, Qi & Khorasany, Mohsen & Afzal, Muhammad & Amin, Waqas, 2021. "A novel communication efficient peer-to-peer energy trading scheme for enhanced privacy in microgrids," Applied Energy, Elsevier, vol. 296(C).
    2. van Leeuwen, Gijs & AlSkaif, Tarek & Gibescu, Madeleine & van Sark, Wilfried, 2020. "An integrated blockchain-based energy management platform with bilateral trading for microgrid communities," Applied Energy, Elsevier, vol. 263(C).
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    Cited by:

    1. Tostado-Véliz, Marcos & Hasanien, Hany M. & Rezaee Jordehi, Ahmad & Turky, Rania A. & Gómez-González, Manuel & Jurado, Francisco, 2023. "An Interval-based privacy – Aware optimization framework for electricity price setting in isolated microgrid clusters," Applied Energy, Elsevier, vol. 340(C).
    2. 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).
    3. Dong, Lei & Zhang, Shiming & Zhang, Tao & Wang, Zibo & Qiao, Ji & Pu, Tianjiao, 2024. "DSO-prosumers dual-layer game optimization based on risk price guidance in a P2P energy market environment," Applied Energy, Elsevier, vol. 361(C).
    4. 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).
    5. Wang, Longze & Zhang, Yan & Li, Zhehan & Huang, Qiyu & Xiao, Yuxin & Yi, Xinxing & Ma, Yiyi & Li, Meicheng, 2023. "P2P trading mode for real-time coupled electricity and carbon markets based on a new indicator green energy," Energy, Elsevier, vol. 285(C).

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