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

Author

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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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