A Fault Location Algorithm for Distribution Network Based on Transient Feature Extraction.

Yao Liu,Qiushi Cui,Jian Luo, Heng Guo, Lixian Shi

2023 IEEE Sustainable Power and Energy Conference (iSPEC)(2023)

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摘要
Precise fault location of distribution network plays an important role in the reliability of modern power systems. The integration of a large number of power electronic devices into the active distribution network results in limited fault currents, indistinct fault characteristics, and complex harmonics, which significantly impair the accuracy of the phasor-domain fault section location methods. In this study, we employ transient measurements to address the issue of single-phase ground fault location in various complex operational scenarios. By using the fault information from the transient zero-sequence current, a fault location method is proposed based on the discrete Fréchet distance of the transient zero-sequence current amplitude. This method utilizes Hilbert transform to extract the instantaneous amplitude of the transient zero-sequence current for each section of the line. According to the principle that the magnitude difference of the transient zero-sequence current at both ends of the fault line is the largest, a location criterion is established to accurately identify the fault section of single-phase ground faults in complex operational scenarios within the distribution network. The proposed fault location method have the ability to adapt to transient processes in active distribution network. The simulation system is constructed using Simulink to verify the accuracy of the section positioning algorithm under diverse conditions. And the results show that the method can be applicable to various neutral grounding modes and scenarios of distributed generation (DG) grid connection.
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关键词
Distribution network,Fault section location,Hilbert transform,Fréchet distance,Distributed generations
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