Intelligent substation secondary circuit fault arc on-line monitoring method and device

By combining optical time-domain reflectometer and wavelet packet transform with Pareto optimization and CNN-LSTM network, high-precision monitoring of fault arcs in the secondary circuit of substations was achieved. This solved the problems of insufficient utilization of optical cable resources and high false alarm rate in fault identification in existing technologies, reduced deployment costs and improved identification accuracy.

CN122193838BActive Publication Date: 2026-07-24GUIZHOU ANRONG TECH DEV CO LTD +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUIZHOU ANRONG TECH DEV CO LTD
Filing Date
2026-05-12
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing technologies cannot effectively utilize existing optical cable resources in substations for secondary circuit fault arc monitoring, requiring the additional deployment of dedicated sensors. Furthermore, fault arc feature extraction and identification algorithms are not sensitive enough to weak arc signals, resulting in a high false alarm rate.

Method used

Pulsed optical signals are sent to redundant optical fibers in the secondary circuit optical cable of the substation using an optical time domain reflectometer. Rayleigh backscattered signals are collected, and multidimensional features are extracted using wavelet packet transform and Pareto optimization algorithms. A directed graph model is constructed for arc localization, and a CNN-LSTM hybrid network is combined for fault diagnosis to generate a blocking decision strategy.

Benefits of technology

It achieves high-precision arc positioning and identification without the need for additional sensor deployment, reduces system deployment costs, improves the accuracy and computational efficiency of fault identification, and designs an adaptive interlocking decision mechanism to ensure a balance between system safety and power supply reliability.

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Abstract

The application discloses a kind of intelligent substation secondary circuit fault arc online monitoring method and device, pulse optical signal is sent to the redundant optical fiber in the substation secondary circuit optical cable by optical time domain reflectometer, and Rayleigh backscattering signal is collected;Wavelet packet transform is carried out on scattering signal, the energy characteristics and entropy characteristics of each frequency band are calculated, and multidimensional feature vector is obtained;Non-dominated solution set is filtered by applying Pareto Front Optimization algorithm, and the Pareto optimal solution set of arc characteristics is obtained;The directed graph model of optical fiber sensing network is constructed, the arc candidate position is determined by applying directed minimum cut algorithm, and positioning is carried out by tree filling algorithm;Feature and position information are constructed into time sequence feature matrix, input into the CNN-LSTM hybrid network of Bayes online resource allocation optimization for classification identification;Locking decision strategy is generated based on fault diagnosis result, encapsulated as MMS message and sent to station control layer, and protection linkage is realized.
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Citation Information

Patent Citations

  • CN118174233A

  • CN121172961A