Distributed mix-integer game approach for local energy trading among multi-energy microgrids via best response method

Junjie Huang, Tao Yu, Zhenning Pan and Yufeng Wu

Energy, 2025, vol. 324, issue C

Abstract: The participation of multi-energy microgrids (MEMGs) in energy market trading offers a promising solution for fully utilizing distributed and public energy resources. Besides, the energy market trading game analysis is an important approach to encourage energy co-construction and sharing among prosumers. Existing research faces issues such as unrealistic model simplifications, heavy computational burdens, and difficulties in proving game-related properties. This paper proposes a model for the electricity-natural gas joint trading game (EGJTG) based on mixed-integer Nash equilibrium problem (MI-NEP) and its distributed approach based on best-response (BR) method to address these shortcomings. Specifically, the paper examines how electric-gas coupled MEMGs can determine the flow of natural gas and participate in trading games in both local electricity and gas markets. Under certain conditions, the paper proves the existence and uniqueness of equilibrium for the EGJTG. The convergence of the distributed game approach built on BR method is analyzed and the MI-NE is determined. Case studies demonstrate that the approach converges rapidly in the EGJTG with quadratic objectives and constraints, and the joint analysis of NEP problems with relaxed integer variables forms mutual verification.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:324:y:2025:i:c:s0360544225015841

DOI: 10.1016/j.energy.2025.135942

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