LAPSE:2023.26360
Published Article
LAPSE:2023.26360
Faulty Feeder Detection Method Based on VMD−FFT and Pearson Correlation Coefficient of Non-Power Frequency Component in Resonant Grounded Systems
Kewen Wei, Jing Zhang, Yu He, Gang Yao, Yikun Zhang
April 3, 2023
Abstract
Through analyzing the transient components and transient characteristics in transient zero-sequence current (TZSC), a novel fault feeder detection method based on the transient correlation of non-power frequency components (NPFCs) for the resonant grounded system is proposed. Firstly, using variational mode decomposition combined with fast Fourier transformation (VMD−FFT) to decompose the TZSC, by removing the power frequency components and noise signals, the transient NPFCs can be obtained. Secondly, to reflect the overall changing trend between faulty and healthy currents, the moving average filter is introduced to smooth the NPFCs; in this way, the fault transient features can be accurately revealed. Finally, the faulty feeder can be detected by comparing the threshold with the maximum difference value of comprehensive correlation coefficient of NPFCs. The detection results show that the proposed fault detection method can accurately select the faulty feeder; it is unaffected by fault resistances, fault phase angles, etc. Moreover, the detection method can resist noise interference.
Keywords
correlation coefficient, faulty feeder detection, non-power frequency component, resonant grounding system, variational mode decomposition
Suggested Citation
Wei K, Zhang J, He Y, Yao G, Zhang Y. Faulty Feeder Detection Method Based on VMD−FFT and Pearson Correlation Coefficient of Non-Power Frequency Component in Resonant Grounded Systems. (2023). LAPSE:2023.26360
Author Affiliations
Wei K: College of Electrical Engineering, Guizhou University, Guiyang 550025, China
Zhang J: College of Electrical Engineering, Guizhou University, Guiyang 550025, China [ORCID]
He Y: College of Electrical Engineering, Guizhou University, Guiyang 550025, China
Yao G: Guizhou Power Grid Company, Guiyang 550001, China
Zhang Y: College of Electrical Engineering, Guizhou University, Guiyang 550025, China
Journal Name
Energies
Volume
13
Issue
18
Article Number
E4724
Year
2020
Publication Date
2020-09-10
ISSN
1996-1073
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PII: en13184724, Publication Type: Journal Article
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https://doi.org/10.3390/en13184724
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