Weak point identification method of distribution network based on global performance analysis of complex network model

Di Wang; Jian Zhao; Hao Du; Wei Hu; Xianzhe Long; Jiang Zou

doi:10.1117/12.3016379

1 February 2024 Weak point identification method of distribution network based on global performance analysis of complex network model

Di Wang, Jian Zhao, Hao Du, Wei Hu, Xianzhe Long, Jiang Zou

Author Affiliations +

Proceedings Volume 13068, Fifth International Conference on Optoelectronic Science and Materials (ICOSM 2023); 130681O (2024) https://doi.org/10.1117/12.3016379
Event: Fifth International Conference on Optoelectronic Science and Materials (ICOSM 2023), 2023, Hefei, China

Abstract

In order to solve the problem that it is difficult to fully identify the weakness of the whole system by a single index established from the point of view of power network topology and power flow characteristics, a weak point identification method of distribution network based on global performance analysis of complex network model is proposed. The complex network models of physical layer and functional layer are built respectively, and the measurement systems and analysis methods based on degree, intermediate number and aggregation coefficient of complex network model are established. The key nodes, weak links and related properties of the power grid are analyzed from different perspectives to provide guidance for the follow-up layout planning of the power grid.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Di Wang, Jian Zhao, Hao Du, Wei Hu, Xianzhe Long, and Jiang Zou "Weak point identification method of distribution network based on global performance analysis of complex network model", Proc. SPIE 13068, Fifth International Conference on Optoelectronic Science and Materials (ICOSM 2023), 130681O (1 February 2024); https://doi.org/10.1117/12.3016379

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