Distribution Network Fault Type Identification Method Based on Feature-summarizing Matrix

doi:10.11930/j.issn.1004-9649.202003220

Abstract

Abstract: Fast identification of short-circuit fault types of distribution network is the basis for accurate fault removal. A method for detecting short-circuit fault types in distribution networks is proposed based on comprehensive feature-summarizing matrix. This method comprehensively considers the difficulties in short-circuit fault-type identification of distribution networks in the case of long-distance transmission, non-linear load switching, incomplete data volume, noise and high-impedance grounding, and the fault types are identified based on the voltage RMS value obtained by Hilbert transform, the voltage harmonics obtained from the Discrete Fourier transform and the converted voltage information by the Hilbert-Huang transform. The proposed feature-summarizing matrix method was verified through a Simulink simulation test system of a 10kV radial network consisting of three feeders, and compared with the traditional methods, which has proved the accuracy advantages of the proposed method.

Key words: distribution network, fault detection, feature-summarizing matrix method, Hilbert transform, discrete Fourier transform, Hilbert-Huang transform

FU Jinwei, SHI Changkai, YIN Hui, GUAN Shilei, WANG Anqi, WANG Yue. Distribution Network Fault Type Identification Method Based on Feature-summarizing Matrix[J]. Electric Power, 2021, 54(11): 125-132.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202003220

https://www.electricpower.com.cn/EN/Y2021/V54/I11/125

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