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A tri-layer decision-making framework for IES considering the interaction of integrated demand response and multi-energy market clearing

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  • Yao, Wenliang
  • Wang, Chengfu
  • Yang, Ming
  • Wang, Kang
  • Dong, Xiaoming
  • Zhang, Zhenwei

Abstract

In integrated energy system (IES), rapidly developmental integrated demand response (IDR) increases the demand-side flexibility. It is challenging to aggregate decentralized IDR resources to participate in multiple markets simultaneously with coordinating the profits of all market-driven stakeholders. To this end, this paper proposes a novel tri-layer decision-making framework for IES to investigate the interaction of IDR and multi-energy market clearing while coordinate complexly interactive stakeholders. In the first layer, electricity-gas wholesale market is cleared based on the offers and bids submitted by energy producers and integrated energy distribution system operator (IEDSO). In the second layer, IEDSO serves as a mediator between multi-energy market and integrated load aggregators (ILAs). Profit-maximizing IEDSO affects the market equilibrium prices by incorporating IDR resources to trade strategically in wholesale market, and offers flexible price strategies considering the changes in clearing results to exploit ILAs’ IDR potential. In the third layer, cooperative game theory is introduced to make ILAs can flexibly cooperate with each other or participate in IDR according to price signals, and Shapley value is used to avoid the conflicts of interest. Meanwhile, multiple uncertainties are dealt with by scenario method to mitigate their influence on multi-energy market operation. To solve this problem efficiently, a tailored reformulation and convexification scheme is developed to convert it into an equivalent mixed integer linear programming problem. Finally, case studies verify the effectiveness and practicality of the proposed tri-layer framework.

Suggested Citation

  • Yao, Wenliang & Wang, Chengfu & Yang, Ming & Wang, Kang & Dong, Xiaoming & Zhang, Zhenwei, 2023. "A tri-layer decision-making framework for IES considering the interaction of integrated demand response and multi-energy market clearing," Applied Energy, Elsevier, vol. 342(C).
    • Handle: RePEc:eee:appene:v:342:y:2023:i:c:s0306261923005603
    DOI: 10.1016/j.apenergy.2023.121196
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    Cited by:

    1. Zhao, Naixin & Gu, Wenbo & Zheng, Zipeng & Ma, Tao, 2023. "Multi-objective bi-level planning of the integrated energy system considering uncertain user loads and carbon emission during the equipment manufacturing process," Renewable Energy, Elsevier, vol. 216(C).
    2. Long Wang, 2023. "Optimal Scheduling Strategy for Multi-Energy Microgrid Considering Integrated Demand Response," Energies, MDPI, vol. 16(12), pages 1-17, June.
    3. Zhihan Shi & Guangming Zhang & Xiaoxiong Zhou & Weisong Han & Mingxiang Zhu & Zhiqing Bai & Xiaodong Lv, 2023. "Research on Integrated Energy Distributed Sharing in Distribution Network Considering AC Power Flow and Demand Response," Sustainability, MDPI, vol. 15(22), pages 1-23, November.

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