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

Author

Listed:
  • Xin Lin

    (College of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
    These authors contributed equally to this work.)

  • Haoran Chen

    (College of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
    These authors contributed equally to this work.)

  • 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)

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.

Suggested Citation

  • Xin Lin & Haoran Chen & Kai Xu & Jianyuan Xu, 2023. "Time Estimation Algorithm of Single-Phase-to-Ground Fault Based on Two-Step Dimensionality Reduction," Energies, MDPI, vol. 16(13), pages 1-18, June.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:4921-:d:1178233
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