Cooperative trading and low-carbon economic dispatch in multiple integrated energy systems based on comprehensive contribution

he cooperative operation of multi-integrated energy systems (MIES) significantly improves stability and reliability. However, achieving fair and efficient energy trading and profit distribution among individual integrated energy systems (IES) remains challenging, particularly when electricity, heat, and carbon quota trading are intertwined. To address this issue, we propose a collaborative optimization framework that simultaneously considers multi-energy trading and a comprehensive contribution index for revenue allocation. First, a peer-to-peer trading platform encompassing electricity, thermal, and carbon quotas is established, with each IES equipped with carbon capture and power-to-gas facilities. Second, a cooperative operation model is formulated using the Nash bargaining approach, quantifying the integrated contribution of each IES and integrating it into the profit distribution mechanism. Finally, the model is solved in a distributed manner via the Alternating Direction Method of Multipliers (ADMM), ensuring data privacy for all participants. The simulation results demonstrate that the proposed strategy not only reduces the total operating costs and carbon emissions of MIES but also stabilizes the cooperative relationship through a fair profit distribution mechanism.

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Publication Details

Journal
Scientific Reports
Published
2026-09-01
DOI
https://doi.org/10.1038/s41598-026-68326-8
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Cooperative trading and low-carbon economic dispatch in multiple integrated energy systems based on comprehensive contribution

Kaiyue Zheng, Chuanzhen Zhao, Fang Wang
Scientific Reports
Integrated Energy Systems Optimization
article

Cooperative trading and low-carbon economic dispatch in multiple integrated energy systems based on comprehensive contribution

Kaiyue Zheng, Chuanzhen Zhao, Fang Wang
article en

Abstract

he cooperative operation of multi-integrated energy systems (MIES) significantly improves stability and reliability. However, achieving fair and efficient energy trading and profit distribution among individual integrated energy systems (IES) remains challenging, particularly when electricity, heat, and carbon quota trading are intertwined. To address this issue, we propose a collaborative optimization framework that simultaneously considers multi-energy trading and a comprehensive contribution index for revenue allocation. First, a peer-to-peer trading platform encompassing electricity, thermal, and carbon quotas is established, with each IES equipped with carbon capture and power-to-gas facilities. Second, a cooperative operation model is formulated using the Nash bargaining approach, quantifying the integrated contribution of each IES and integrating it into the profit distribution mechanism. Finally, the model is solved in a distributed manner via the Alternating Direction Method of Multipliers (ADMM), ensuring data privacy for all participants. The simulation results demonstrate that the proposed strategy not only reduces the total operating costs and carbon emissions of MIES but also stabilizes the cooperative relationship through a fair profit distribution mechanism.

Scientific Reports
Tiangong University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 20%
Integrated Energy Systems Optimization
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