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

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

Energy, 2023, vol. 273, issue C

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.

Keywords: Integrated energy system; Integrated demand response; Stackelberg game; Non-cooperative game; Operation strategy (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:273:y:2023:i:c:s0360544223005315

DOI: 10.1016/j.energy.2023.127137

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