Digital twin topology modelling method of new-type distribution network based on CIM specifications and spectral clustering
Regard to the real-time dynamic digital twin modelling problem of a new-type distribution network that includes distributed resources such as distributed photovoltaic, energy storage, charging pile, and electric vehicle, a new-type distribution network digital twin topology modeling method based on Common Information Model (CIM) specifications and spectral clustering is proposed. Firstly, according to the specifications of the CIM standard, the digital twin topology models of distributed resources are extended and established. Secondly, based on the digital twin topology models of distributed resources, a digital twin aggregation modelling method for new-type distribution network is proposed based on spectral clustering. Furthermore, an online linked update strategy for the digital twin model of new-type distribution network that integrates real-time topology states is proposed. Finally, a case study is conducted on a distribution network in a certain demonstration area in China, and the results verify the practicability and effectiveness of the method proposed in this paper. This lays the foundation for the application of electrical network twin analysis, such as power flow calculation, optimal power flow, economic dispatch, and safety check, in a new-type distribution network that includes diversified distributed resources.
Authors
- Zhimin He (ORCID: https://orcid.org/0000-0003-0841-8252)
- Lin Peng
- He Wang (ORCID: https://orcid.org/0009-0004-1997-4048)
- Hou‐Yong Yu (ORCID: https://orcid.org/0000-0002-6543-5924)
- Aihua Zhou
- Jin Xu (ORCID: https://orcid.org/0000-0002-3158-6804)
Institutions
- State Grid Corporation of China (China) (CN)
- Shanghai Jiao Tong University (CN)
- State Nuclear Power Technology Company (China) (CN)
Publication Details
- Journal
- Global Energy Interconnection
- Published
- 2025-11-08
- DOI
- https://doi.org/10.1016/j.gloei.2025.05.012
- Primary Topic
- Optimal Power Flow Distribution
- Type
- article
- Field-Weighted Citation Impact
- 0.00