Research on fault localization methods of shipboard power networks

Longlong Liu; Xiaochuan AI; Xinyu Zheng

doi:10.1117/12.3024302

13 May 2024 Research on fault localization methods of shipboard power networks

Longlong Liu, Xiaochuan AI, Xinyu Zheng

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131597N (2024) https://doi.org/10.1117/12.3024302
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

Aiming at the complexity and networked characteristics of shipboard electric power network, complex network theory thinking is introduced to transform the electric power network into a network topology graph, using the reliability theory, combined with the minimum path method, the nodes with a large contribution to the failure rate are set as the network fault monitoring points for real-time monitoring of the network. In order to solve the problem of fault location in shipboard electric power network, this paper utilizes the shortest circuit idea to realize the search and location of faulty segments, and simulation experiments are carried out for the two cases of line failure and node failure, and a relatively good location effect is obtained.

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

Citation Download Citation

Longlong Liu, Xiaochuan AI, and Xinyu Zheng "Research on fault localization methods of shipboard power networks", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131597N (13 May 2024); https://doi.org/10.1117/12.3024302

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