Hierarchical Distributed Low-Carbon Economic Dispatch Strategy for Regional Integrated Energy System Based on ADMM

He Jiang (), Baoqi Tong, Zongjun Yao and Yan Zhao
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He Jiang: School of Renewable Energy, Shenyang Institute of Engineering, Shenyang 110136, China
Baoqi Tong: School of Renewable Energy, Shenyang Institute of Engineering, Shenyang 110136, China
Zongjun Yao: School of Renewable Energy, Shenyang Institute of Engineering, Shenyang 110136, China
Yan Zhao: School of Renewable Energy, Shenyang Institute of Engineering, Shenyang 110136, China

Energies, 2025, vol. 18, issue 17, 1-28

Abstract: To further improve the economic benefits of operators and the low-carbon performance within the system, this paper proposes a hierarchical distributed low-carbon economic dispatch strategy for regional integrated energy systems (RIESs) based on the Alternating Direction Method of Multipliers (ADMM). First, the energy coupling relationships among conversion devices in RIESs are analyzed, and a structural model of RIES incorporating an energy generation operator (EGO) and multiple load aggregators (LAs) is established. Second, considering the stepwise carbon trading mechanism (SCTM) and the average thermal comfort of residents, economic optimization models for operators are developed. To ensure optimal energy trading strategies between conflicting stakeholders, the EGO and LAs are embedded into a master–slave game trading framework, and the existence of the game equilibrium solution is rigorously proven. Furthermore, considering the processing speed of the optimization problem by the operators and the operators’ data privacy requirement, the optimization problem is solved in a hierarchical distributed manner using ADMM. To ensure the convergence of the algorithm, the non-convex feasible domain of the subproblem bilinear term is transformed into a convex polyhedron defined by its convex envelope so that the problem can be solved by a convex optimization algorithm. Finally, an example analysis shows that the scheduling strategy proposed in this paper improves the economic efficiency of energy trading participants by 3% and 3.26%, respectively, and reduces the system carbon emissions by 10.5%.

Keywords: stepwise carbon trading mechanism; Stackelberg game; Alternating Direction Method of Multipliers; regional integrated energy systems (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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