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Cooperative Game Enabled Low-Carbon Energy Dispatching of Multi-Regional Integrated Energy Systems Considering Carbon Market

Author

Listed:
  • Peiran Liang

    (School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China
    China Energy Engineering Group ShanXi Electric Power Engineering Co., Ltd., Taiyuan 030008, China)

  • Honghang Zhang

    (School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Rui Liang

    (School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

With the growing global environmental concerns and the push for carbon neutrality, rural multi-regional integrated energy systems (IESs) face challenges related to low energy efficiency, high carbon emissions, and the transition to cleaner energy sources. This paper proposes a cooperative game-based low-carbon economic dispatch strategy for rural IESs, integrating carbon trading mechanisms. A novel multi-regional IESs architecture is developed to exploit the synergy between photovoltaic (PV) and biomass energy systems. The proposed model described the anaerobic fermentation heat loads, incorporates variable-temperature fermentation, and employs a Nash bargaining model solved via the Alternating Direction Method of Multipliers (ADMM) to optimize cooperation while preserving stakeholder privacy. Simulation results show that the proposed strategy reduces total operating costs by 16.9% and carbon emissions by 7.5%, validating its effectiveness in enhancing efficiency and sustainability in rural energy systems.

Suggested Citation

  • Peiran Liang & Honghang Zhang & Rui Liang, 2025. "Cooperative Game Enabled Low-Carbon Energy Dispatching of Multi-Regional Integrated Energy Systems Considering Carbon Market," Energies, MDPI, vol. 18(4), pages 1-18, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:4:p:759-:d:1585481
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    References listed on IDEAS

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    1. Zhang, Suhan & Chen, Shibo & Gu, Wei & Lu, Shuai & Chung, Chi Yung, 2024. "Dynamic optimal energy flow of integrated electricity and gas systems in continuous space," Applied Energy, Elsevier, vol. 375(C).
    2. Zhi, Yuan & Yang, Xudong, 2023. "Scenario-based multi-objective optimization strategy for rural PV-battery systems," Applied Energy, Elsevier, vol. 345(C).
    3. Zhang, Zongnan & Fedorovich, Kudashev Sergey, 2024. "Optimal operation of multi-integrated energy system based on multi-level Nash multi-stage robust," Applied Energy, Elsevier, vol. 358(C).
    4. Chen, Maozhi & Lu, Hao & Chang, Xiqiang & Liao, Haiyan, 2023. "An optimization on an integrated energy system of combined heat and power, carbon capture system and power to gas by considering flexible load," Energy, Elsevier, vol. 273(C).
    5. Wang, Yi & Jin, Zikang & Liang, Jing & Li, Zhongwen & Dinavahi, Venkata & Liang, Jun, 2024. "Low-carbon optimal scheduling of park-integrated energy system based on bidirectional Stackelberg-Nash game theory," Energy, Elsevier, vol. 305(C).
    6. Yutai Cheng & Yao Xiao, 2022. "Factors of carbon emissions from Chinese urban and rural residents: a time-varying study," Applied Economics Letters, Taylor & Francis Journals, vol. 29(18), pages 1696-1701, October.
    7. Bhatti, Bilal Ahmad & Broadwater, Robert, 2019. "Energy trading in the distribution system using a non-model based game theoretic approach," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    8. Wang, Zaichuang & Chen, Laijun & Li, Xiaozhu & Mei, Shengwei, 2023. "A Nash bargaining model for energy sharing between micro-energy grids and energy storage," Energy, Elsevier, vol. 283(C).
    9. Xiang, Yue & Guo, Yongtao & Wu, Gang & Liu, Junyong & Sun, Wei & Lei, Yutian & Zeng, Pingliang, 2022. "Low-carbon economic planning of integrated electricity-gas energy systems," Energy, Elsevier, vol. 249(C).
    10. Tan, Hong & Yan, Wei & Ren, Zhouyang & Wang, Qiujie & Mohamed, Mohamed A., 2022. "Distributionally robust operation for integrated rural energy systems with broiler houses," Energy, Elsevier, vol. 254(PC).
    11. Praveen Kumar, G. & Ayou, Dereje S. & Narendran, C. & Saravanan, R. & Maiya, M.P. & Coronas, Alberto, 2023. "Renewable heat powered polygeneration system based on an advanced absorption cycle for rural communities," Energy, Elsevier, vol. 262(PA).
    12. Tan, Hong & Li, Zhenxing & Wang, Qiujie & Mohamed, Mohamed A., 2023. "A novel forecast scenario-based robust energy management method for integrated rural energy systems with greenhouses," Applied Energy, Elsevier, vol. 330(PB).
    13. Ju, Liwei & Lu, Xiaolong & Yang, Shenbo & Li, Gen & Fan, Wei & Pan, Yushu & Qiao, Huiting, 2022. "A multi-time scale dispatching optimal model for rural biomass waste energy conversion system-based micro-energy grid considering multi-energy demand response," Applied Energy, Elsevier, vol. 327(C).
    14. Wang, Haiyang & Li, Ke & Zhang, Chenghui & Chen, Jianfei, 2024. "Capacity and operation joint optimization for integrated energy system based on Nash bargaining game," Energy, Elsevier, vol. 305(C).
    15. Wu, Biao & Zhang, Shaohua & Yuan, Chenxin & Wang, Xian & Wang, Fei & Zhang, Shengqi, 2024. "Cooperative energy and reserve trading strategies for multiple integrated energy systems based on asymmetric nash bargaining theory," Energy, Elsevier, vol. 313(C).
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