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Collaborative optimization for interconnected energy hubs based on cluster partition of electric-thermal energy network

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  • Hung, Yujing
  • Liu, Nian
  • Chen, Zheng
  • Xu, Jieyan

Abstract

In order to solve the problem of distribution network congestion caused by a large number of distributed renewable energy generation and increasing flexible loads in distribution network, a two-stage collaborative optimization method based on electric-thermal energy network (EN) cluster partition and collaborative optimization of multiple energy hubs (EHs) is proposed. In the first stage, the dynamic cluster partition for electric-thermal EN with EHs is performed to distribute the electrical and thermal load nodes to each EH cluster. In the second stage, a bi-level optimization model for multiple EH clusters is established to solve the overload problem of main transformer in the distribution network. The electric-thermal EN cluster partition model is solved by classical Louvain algorithm, and the bi-level collaborative optimization model is solved by a distributed method. The standard IEEE 33-nodes regional distribution network (RDN) and a 32-nodes regional thermal network (RTN) are used to test the proposed two-stage collaborative optimization method. Case studies show the effectiveness of the proposed method for alleviating the overload problem of the main transformer and reducing the system operation cost.

Suggested Citation

  • Hung, Yujing & Liu, Nian & Chen, Zheng & Xu, Jieyan, 2025. "Collaborative optimization for interconnected energy hubs based on cluster partition of electric-thermal energy network," Energy, Elsevier, vol. 321(C).
    • Handle: RePEc:eee:energy:v:321:y:2025:i:c:s036054422501045x
    DOI: 10.1016/j.energy.2025.135403
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    References listed on IDEAS

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    1. Liu, Xuezhi & Wu, Jianzhong & Jenkins, Nick & Bagdanavicius, Audrius, 2016. "Combined analysis of electricity and heat networks," Applied Energy, Elsevier, vol. 162(C), pages 1238-1250.
    2. Yizhi Cheng & Peichao Zhang & Xuezhi Liu, 2019. "Collaborative Autonomous Optimization of Interconnected Multi-Energy Systems with Two-Stage Transactive Control Framework," Energies, MDPI, vol. 13(1), pages 1-21, December.
    3. Wang, Rutian & Wen, Xiangyun & Wang, Xiuyun & Fu, Yanbo & Zhang, Yu, 2022. "Low carbon optimal operation of integrated energy system based on carbon capture technology, LCA carbon emissions and ladder-type carbon trading," Applied Energy, Elsevier, vol. 311(C).
    4. Lu, Xinhui & Liu, Zhaoxi & Ma, Li & Wang, Lingfeng & Zhou, Kaile & Yang, Shanlin, 2020. "A robust optimization approach for coordinated operation of multiple energy hubs," Energy, Elsevier, vol. 197(C).
    5. Chen, Cong & Sun, Hongbin & Shen, Xinwei & Guo, Ye & Guo, Qinglai & Xia, Tian, 2019. "Two-stage robust planning-operation co-optimization of energy hub considering precise energy storage economic model," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    6. Rakipour, Davood & Barati, Hassan, 2019. "Probabilistic optimization in operation of energy hub with participation of renewable energy resources and demand response," Energy, Elsevier, vol. 173(C), pages 384-399.
    7. Prajapati, Vijaykumar K. & Mahajan, Vasundhara, 2021. "Reliability assessment and congestion management of power system with energy storage system and uncertain renewable resources," Energy, Elsevier, vol. 215(PB).
    8. Wang, Yudong & Hu, Junjie, 2023. "Two-stage energy management method of integrated energy system considering pre-transaction behavior of energy service provider and users," Energy, Elsevier, vol. 271(C).
    9. Zhang, Guoqing & Wang, Jiangjiang & Ren, Fukang & Liu, Yi & Dong, Fuxiang, 2021. "Collaborative optimization for multiple energy stations in distributed energy network based on electricity and heat interchanges," Energy, Elsevier, vol. 222(C).
    10. Gao, Yang & Ai, Qian & He, Xing & Fan, Songli, 2023. "Coordination for regional integrated energy system through target cascade optimization," Energy, Elsevier, vol. 276(C).
    11. Huang, Yujing & Wang, Yudong & Liu, Nian, 2022. "A two-stage energy management for heat-electricity integrated energy system considering dynamic pricing of Stackelberg game and operation strategy optimization," Energy, Elsevier, vol. 244(PA).
    12. Huang, Yujing & Wang, Yudong & Liu, Nian, 2022. "Low-carbon economic dispatch and energy sharing method of multiple Integrated Energy Systems from the perspective of System of Systems," Energy, Elsevier, vol. 244(PA).
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