Paper
18 July 2023 Research on single-phase fault line selection method of distribution network based on knowledge graph
Tiefeng Xu, Tao Wang, Xianwei Jiang, Gensheng Liu
Author Affiliations +
Proceedings Volume 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023); 127221T (2023) https://doi.org/10.1117/12.2679964
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 2023, Hangzhou, China
Abstract
In order to realize accurate single-phase fault line selection of a distribution network with multiple cables and overhead lines, a method of single-phase fault line selection of distribution network based on knowledge atlas is proposed. On the basis of building the overall knowledge map model, collect and preprocess the distribution network line data, extract the characteristics of the line data using the convolution neural network method, and realize the single-phase fault line selection of the distribution network on the basis of fault detection and recognition. The simulation results show that the proposed method can accurately identify and locate single-phase ground fault, and provide a reference for ensuring the stable operation of distribution network.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tiefeng Xu, Tao Wang, Xianwei Jiang, and Gensheng Liu "Research on single-phase fault line selection method of distribution network based on knowledge graph", Proc. SPIE 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 127221T (18 July 2023); https://doi.org/10.1117/12.2679964
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KEYWORDS
Convolution

Data modeling

Feature extraction

Matrices

Neural networks

Wavelets

Data acquisition

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