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Distributed collaborative operation strategies in multi-agent integrated energy system considering integrated demand response based on game theory

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  • Li, Ke
  • Ye, Ning
  • Li, Shuzhen
  • Wang, Haiyang
  • Zhang, Chenghui

Abstract

As the conflict between energy and the environment intensifies, integrated energy system (IES) is an effective way to reduce tensions with difficulties about multi-energy coupling and multi-agent. This study proposed a multi-agent game operation strategy consisting of energy retailers, suppliers, and users with integrated demand response (IDR). This problem is formulated as a distributed bi-level optimization model with one leader and multi-followers, which is a Stackelberg game among them vertically, and a non-cooperative game between energy suppliers horizontally. The equilibrium of proposed game model is proved the existence and uniqueness, and is solved by a distributed algorithm through genetic algorithm nested quadratic programming. Finally, the effectiveness of the proposed method is verified by the case study in three scenarios. The results shows that the supply-side revenue are effectively improved by 8.57%, the demand-side costs are reduced 1.42% by game model and IDR, and improve the operation and stability of energy supply and utilization.

Suggested Citation

  • Li, Ke & Ye, Ning & Li, Shuzhen & Wang, Haiyang & Zhang, Chenghui, 2023. "Distributed collaborative operation strategies in multi-agent integrated energy system considering integrated demand response based on game theory," Energy, Elsevier, vol. 273(C).
    • Handle: RePEc:eee:energy:v:273:y:2023:i:c:s0360544223005315
    DOI: 10.1016/j.energy.2023.127137
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    6. 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.
    7. Yan, Haoran & Hou, Hongjuan & Deng, Min & Si, Lengge & Wang, Xi & Hu, Eric & Zhou, Rhonin, 2024. "Stackelberg game theory based model to guide users’ energy use behavior, with the consideration of flexible resources and consumer psychology, for an integrated energy system," Energy, Elsevier, vol. 288(C).

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