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Cooperative game optimization scheduling of multi-region integrated energy system based on ADMM algorithm

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  • Wu, Yanjuan
  • Wang, Caiwei
  • Wang, Yunliang

Abstract

—In order to further optimize the energy utilization rate and operation cost of the integrated energy system, and consider the randomness of new energy output to improve the flexibility of system operation, a cooperative game based on IES optimization operation model is proposed. Firstly, the IES framework is constructed, and the models are modeled for the equipment such as power to gas, carbon capture, gas unit, electricity and gas storage. Secondly, the collaborative cooperation alliance among IESs in multiple regions is built, and the principle of energy complementarity to improve the overall income is expounded. Thirdly, the IES cooperative optimal scheduling model based on cooperative game is established, the asymmetric Nash bargaining method is used to allocate cooperative earnings according to contribution, and the ADMM algorithm is used to solve the bargaining model. Finally, through the simulation analysis of an energy system in North China, it can be verified that the proposed strategy can effectively reduce the operating costs of each cooperative entity and the total operating costs of the cooperative alliance, improve the new energy consumption rate, reduce the carbon emissions, and provide a theoretical reference for the low-carbon economic dispatch of the power system.

Suggested Citation

  • Wu, Yanjuan & Wang, Caiwei & Wang, Yunliang, 2024. "Cooperative game optimization scheduling of multi-region integrated energy system based on ADMM algorithm," Energy, Elsevier, vol. 302(C).
    • Handle: RePEc:eee:energy:v:302:y:2024:i:c:s0360544224015019
    DOI: 10.1016/j.energy.2024.131728
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    References listed on IDEAS

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    1. Wang, Yongli & Wang, Yudong & Huang, Yujing & Yang, Jiale & Ma, Yuze & Yu, Haiyang & Zeng, Ming & Zhang, Fuwei & Zhang, Yanfu, 2019. "Operation optimization of regional integrated energy system based on the modeling of electricity-thermal-natural gas network," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    2. Jiang, Aihua & Yuan, Huihong & Li, Delong, 2021. "Energy management for a community-level integrated energy system with photovoltaic prosumers based on bargaining theory," Energy, Elsevier, vol. 225(C).
    3. Quan Li & Xin Wang & Shuaiang Rong, 2018. "Probabilistic Load Flow Method Based on Modified Latin Hypercube-Important Sampling," Energies, MDPI, vol. 11(11), pages 1-14, November.
    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, Jianhui & Mao, Jiangwei & Hao, Ruhai & Li, Shoudong & Bao, Guangqing, 2022. "Multi-energy coupling analysis and optimal scheduling of regional integrated energy system," Energy, Elsevier, vol. 254(PC).
    6. Wang, Shouxiang & Wang, Shaomin & Zhao, Qianyu & Dong, Shuai & Li, Hao, 2023. "Optimal dispatch of integrated energy station considering carbon capture and hydrogen demand," Energy, Elsevier, vol. 269(C).
    7. Xiang, Yue & Wu, Gang & Shen, Xiaodong & Ma, Yuhang & Gou, Jing & Xu, Weiting & Liu, Junyong, 2021. "Low-carbon economic dispatch of electricity-gas systems," Energy, Elsevier, vol. 226(C).
    8. Feifan Chen & Haifeng Liang & Yajing Gao & Yongchun Yang & Yuxuan Chen, 2019. "Research on Double-Layer Optimal Scheduling Model of Integrated Energy Park Based on Non-Cooperative Game," Energies, MDPI, vol. 12(16), pages 1-16, August.
    9. Xiao Gong & Fan Li & Bo Sun & Dong Liu, 2020. "Collaborative Optimization of Multi-Energy Complementary Combined Cooling, Heating, and Power Systems Considering Schedulable Loads," Energies, MDPI, vol. 13(4), pages 1-17, February.
    10. Yao, Leyi & Liu, Zeyuan & Chang, Weiguang & Yang, Qiang, 2023. "Multi-level model predictive control based multi-objective optimal energy management of integrated energy systems considering uncertainty," Renewable Energy, Elsevier, vol. 212(C), pages 523-537.
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