Time Estimation Algorithm of Single-Phase-to-Ground Fault Based on Two-Step Dimensionality Reduction

Xin Lin, Haoran Chen (), Kai Xu and Jianyuan Xu
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Xin Lin: College of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
Haoran Chen: College of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
Kai Xu: State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China
Jianyuan Xu: College of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China

Energies, 2023, vol. 16, issue 13, 1-18

Abstract: The fault detection time identified by relying on the over-voltage criterion of zero-sequence voltage often lags behind the actual occurrence time of ground faults, which may cause fault protection methods based on transient quantity principles to miss fault characteristics and lose their protection capability. To accurately estimate the time of occurrence of a single-phase-to-ground fault, this paper proposes a two-step dimensionality reduction algorithm for estimating the time of occurrence of a single-phase-to-ground fault in a distribution network. This algorithm constructs a filter based on Empirical Mode Decomposition (EMD) to establish a high-dimensional feature dataset based on the zero-sequence current of all feeders. After Principal Component Analysis and Hilbert Mapping Algorithm, the high-dimensional data are reduced to two dimensions to construct a two-dimensional feature dataset. The density-based clustering method is used to adaptively divide the data into two categories, fault data and non-fault data, so as to estimate the time of occurrence of the fault. The paper designs 11 sets of experiments including 7 common high-resistance grounding mediums to verify the accuracy of the fault time recognition of this algorithm. The accuracy of this algorithm is within 7.3 ms and it exhibits better detection performance compared to the threshold detection method.

Keywords: clustering; dimensionality reduction; distribution network; empirical mode decomposition (EMD); fault-time estimation; single-phase-to-ground fault (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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