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A Three-Layer Scheduling Framework with Dynamic Peer-to-Peer Energy Trading for Multi-Regional Power Balance

Author

Listed:
  • Tianmeng Yang

    (Northeast Branch of State Grid Corporation of China, Shenyang 110180, China)

  • Jicheng Liu

    (Northeast Branch of State Grid Corporation of China, Shenyang 110180, China)

  • Wei Feng

    (Northeast Branch of State Grid Corporation of China, Shenyang 110180, China)

  • Zelong Chen

    (Northeast Branch of State Grid Corporation of China, Shenyang 110180, China)

  • Yumin Zhao

    (Northeast Branch of State Grid Corporation of China, Shenyang 110180, China)

  • Suhua Lou

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Wuhan 430074, China)

Abstract

This paper addresses the critical challenges of renewable energy integration and regional power balance in smart grids, which have become increasingly complex with the rapid growth of distributed energy resources. It proposes a novel three-layer scheduling framework with a dynamic peer-to-peer (P2P) trading mechanism to address these challenges. The framework incorporates a preliminary local supply–demand balance considering renewable energy, followed by an inter-regional P2P trading layer and, ultimately, flexible resource deployment for final balance adjustment. The proposed dynamic continuous P2P trading mechanism enables regions to autonomously switch roles between buyer and seller based on their internal energy status and preferences, facilitating efficient trading while protecting regional privacy. The model features an innovative price update mechanism that initially leverages historical trading data and dynamically adjusts prices to maximize trading success rates. To address the heterogeneity of regional resources and varying energy demands, the framework implements a flexible trading strategy that allows for differentiated transaction volumes and prices. The effectiveness of the proposed framework is validated through simulation experiments using k-means clustered typical daily data from four regions in Northeast China. The results demonstrate that the proposed approach successfully promotes renewable energy utilization, reduces the operational costs of flexible resources, and achieves an efficient inter-regional energy balance while maintaining regional autonomy and information privacy.

Suggested Citation

  • Tianmeng Yang & Jicheng Liu & Wei Feng & Zelong Chen & Yumin Zhao & Suhua Lou, 2024. "A Three-Layer Scheduling Framework with Dynamic Peer-to-Peer Energy Trading for Multi-Regional Power Balance," Energies, MDPI, vol. 17(24), pages 1-15, December.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:24:p:6239-:d:1541304
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    References listed on IDEAS

    as
    1. Meng, Yuan & Qiu, Jing & Zhang, Cuo & Lei, Gang & Zhu, Jianguo, 2024. "A Holistic P2P market for active and reactive energy trading in VPPs considering both financial benefits and network constraints," Applied Energy, Elsevier, vol. 356(C).
    2. Wang, Zhuo & Hou, Hui & Zhao, Bo & Zhang, Leiqi & Shi, Ying & Xie, Changjun, 2024. "Risk-averse stochastic capacity planning and P2P trading collaborative optimization for multi-energy microgrids considering carbon emission limitations: An asymmetric Nash bargaining approach," Applied Energy, Elsevier, vol. 357(C).
    3. Diab, Ibrahim & Damianakis, Nikolaos & Chandra-Mouli, Gautham Ram & Bauer, Pavol, 2024. "A shared PV system for transportation and residential loads to reduce curtailment and the need for storage systems," Applied Energy, Elsevier, vol. 353(PB).
    4. Sousa, Tiago & Soares, Tiago & Pinson, Pierre & Moret, Fabio & Baroche, Thomas & Sorin, Etienne, 2019. "Peer-to-peer and community-based markets: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 367-378.
    5. Liang, Chao & Umar, Muhammad & Ma, Feng & Huynh, Toan L.D., 2022. "Climate policy uncertainty and world renewable energy index volatility forecasting," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    6. Siddik, Abu Bakkar & Khan, Samiha & Khan, Uzma & Yong, Li & Murshed, Muntasir, 2023. "The role of renewable energy finance in achieving low-carbon growth: contextual evidence from leading renewable energy-investing countries," Energy, Elsevier, vol. 270(C).
    7. Àlex Alonso-Travesset & Diederik Coppitters & Helena Martín & Jordi de la Hoz, 2023. "Economic and Regulatory Uncertainty in Renewable Energy System Design: A Review," Energies, MDPI, vol. 16(2), pages 1-30, January.
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