Study on Single-phase Ground Fault Routing Method of Resonant Grounding System Based on Parameter Optimised VMD

This study presents a fault routing method for single-phase grounding faults in resonant grounding systems. The method is based on the analysis of the composition and characteristics of the transient zero-sequence current. The analysis employs a VMD decomposition with waveform correlation and energy ratio as the criterion. Firstly, the parameters of the VMD decomposition are optimised with the objective of separating the low-frequency components, high-frequency components and noise signals in the transient zero-sequence current. Once this has been achieved, the reconstructed signals are obtained after the noise signals have been removed. Subsequently, the correlation coefficients of the low-frequency components and the Hilbert energy ratios of the reconstructed signals are calculated to form the criterion matrix. Subsequently, the K-means clustering algorithm is employed to achieve fault routing. The simulation results demonstrate that the proposed line selection method is an effective approach for accurately identifying faulty lines.

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Published
2024-12-06
DOI
https://doi.org/10.1109/iaecst64597.2024.11117629
Primary Topic
Power Systems and Technologies
Type
article
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article

Study on Single-phase Ground Fault Routing Method of Resonant Grounding System Based on Parameter Optimised VMD

Dan Cheng, Zhongbin Chen, Wei Li
Power Systems and Technologies
article

Study on Single-phase Ground Fault Routing Method of Resonant Grounding System Based on Parameter Optimised VMD

Dan Cheng, Zhongbin Chen, Wei Li
article en

Abstract

This study presents a fault routing method for single-phase grounding faults in resonant grounding systems. The method is based on the analysis of the composition and characteristics of the transient zero-sequence current. The analysis employs a VMD decomposition with waveform correlation and energy ratio as the criterion. Firstly, the parameters of the VMD decomposition are optimised with the objective of separating the low-frequency components, high-frequency components and noise signals in the transient zero-sequence current. Once this has been achieved, the reconstructed signals are obtained after the noise signals have been removed. Subsequently, the correlation coefficients of the low-frequency components and the Hilbert energy ratios of the reconstructed signals are calculated to form the criterion matrix. Subsequently, the K-means clustering algorithm is employed to achieve fault routing. The simulation results demonstrate that the proposed line selection method is an effective approach for accurately identifying faulty lines.

East China Jiaotong University (CN)
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Power Systems and Technologies
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