Optimal Scheduling Strategy of Multi-Agent Regional Integrated Energy Systems with Hydrogen by Considering CET–GCT

This paper proposes a low-carbon optimization dispatch method for hydrogen-based multi-agent regional integrated energy system (RIES) that incorporate CET-GCT. The approach aims to coordinate the interests of all parties within the regional integrated energy system while reducing overall system carbon emissions. First, based on Stackelberg game theory, the interactions between the energy operator and agents on the supply side and demand side are fully characterized, establishing a “one main, two subordinate” multi-agent game model. Second, the model incorporates refined power-to-gas (P2G) technology to enhance system flexibility. Subsequently, a combined carbon trading-green certificate trading mechanism is introduced to effectively constrain the carbon emission behaviors of all stakeholders. Finally, an improved Ivy algorithm is integrated with the CPLEX solver to solve the proposed model. Simulation results demonstrate that while each entity maximizes its own benefits by adjusting its strategy, the system’s overall carbon emissions decrease by 5.12% and total revenue increased by 11.49%, yielding significant low-carbon economic benefits. This validates the effectiveness of the proposed model and methodology.

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Publication Details

Journal
Electronics
Published
2026-04-15
DOI
https://doi.org/10.3390/electronics15081660
Primary Topic
Integrated Energy Systems Optimization
Type
article
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article

Optimal Scheduling Strategy of Multi-Agent Regional Integrated Energy Systems with Hydrogen by Considering CET–GCT

Yi Yan, Tong Zhou, Weiguo Wang, Wei Liu
Electronics
Integrated Energy Systems Optimization
article

Optimal Scheduling Strategy of Multi-Agent Regional Integrated Energy Systems with Hydrogen by Considering CET–GCT

Yi Yan, Tong Zhou, Weiguo Wang, Wei Liu
article en

Abstract

This paper proposes a low-carbon optimization dispatch method for hydrogen-based multi-agent regional integrated energy system (RIES) that incorporate CET-GCT. The approach aims to coordinate the interests of all parties within the regional integrated energy system while reducing overall system carbon emissions. First, based on Stackelberg game theory, the interactions between the energy operator and agents on the supply side and demand side are fully characterized, establishing a “one main, two subordinate” multi-agent game model. Second, the model incorporates refined power-to-gas (P2G) technology to enhance system flexibility. Subsequently, a combined carbon trading-green certificate trading mechanism is introduced to effectively constrain the carbon emission behaviors of all stakeholders. Finally, an improved Ivy algorithm is integrated with the CPLEX solver to solve the proposed model. Simulation results demonstrate that while each entity maximizes its own benefits by adjusting its strategy, the system’s overall carbon emissions decrease by 5.12% and total revenue increased by 11.49%, yielding significant low-carbon economic benefits. This validates the effectiveness of the proposed model and methodology.

ElectronicsVol. 15(8)
Shandong University of Technology (CN), Shanghai Electric (China) (CN)
Openalex Percentile: Top 15%
Integrated Energy Systems Optimization
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Optimal Scheduling Strategy of Multi-Agent Regional Integrated Energy Systems with Hydrogen by Considering CET–GCT — Yi Yan, Tong Zhou, et al. · Electronics (2026) | TGRS Research Map | TGRS