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

Yujing Hung, Nian Liu, Zheng Chen and Jieyan Xu

Energy, 2025, vol. 321, issue C

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.

Keywords: Electric-thermal hybrid energy network; Energy hub; Collaborative optimization; Cluster partition (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:321:y:2025:i:c:s036054422501045x

DOI: 10.1016/j.energy.2025.135403

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