Fault section location of collector lines based on phase comparison of zero-sequence current using the Kaiser window

• Kaiser window FFT suppresses spectral leakage effectively. • Zero-sequence current phase differences locate fault sections. • Adapts to multi-branch collector line structures in wind farms. • Accurate identification of terminal and branch faults via simulations. • Robust against CT saturation and crowbar circuit activation. To address the limitations of existing single-phase grounding fault location methods for collector lines in wind farms, especially their insufficient adaptability to multi-branch topologies, this paper proposes a fault section location method based on phasor comparison using Kaiser windowed Fast Fourier Transform (FFT). Collector lines in large-scale wind farms generally exhibit a multi-branch topological layout similar to traditional radial distribution networks, and existing methods are limited in terms of positioning accuracy and reliability under such complex structures. Analysis shows that when a single-phase grounding fault occurs in a section or branch of the collector line, there are significant phasor differences between the faulty section and healthy sections, as well as between the faulty branch and healthy branches. Utilizing this feature, this paper adopts the Kaiser windowed FFT algorithm, which effectively suppresses spectral leakage, to calculate the mean value of phasor difference sequences between measurement points, establishes fault discrimination criteria, and achieves accurate location of faulty sections and branches. Simulation verification demonstrates that the proposed method has good adaptability to multi-branch collector lines and can significantly improve the accuracy of fault location.

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Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2025-09-25
DOI
https://doi.org/10.1016/j.ijepes.2025.111043
Citations
2
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
2.43
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article

Fault section location of collector lines based on phase comparison of zero-sequence current using the Kaiser window

Yiming Han, Yue Dai, Yutao Tang, Cheng Guan et al.
2 citations
International Journal of Electrical Power & Energy Systems
Power Systems Fault Detection
2.43
article

Fault section location of collector lines based on phase comparison of zero-sequence current using the Kaiser window

Yiming Han, Yue Dai, Yutao Tang, Cheng Guan, Hongchun Shu
article en
2 citations

Abstract

• Kaiser window FFT suppresses spectral leakage effectively. • Zero-sequence current phase differences locate fault sections. • Adapts to multi-branch collector line structures in wind farms. • Accurate identification of terminal and branch faults via simulations. • Robust against CT saturation and crowbar circuit activation. To address the limitations of existing single-phase grounding fault location methods for collector lines in wind farms, especially their insufficient adaptability to multi-branch topologies, this paper proposes a fault section location method based on phasor comparison using Kaiser windowed Fast Fourier Transform (FFT). Collector lines in large-scale wind farms generally exhibit a multi-branch topological layout similar to traditional radial distribution networks, and existing methods are limited in terms of positioning accuracy and reliability under such complex structures. Analysis shows that when a single-phase grounding fault occurs in a section or branch of the collector line, there are significant phasor differences between the faulty section and healthy sections, as well as between the faulty branch and healthy branches. Utilizing this feature, this paper adopts the Kaiser windowed FFT algorithm, which effectively suppresses spectral leakage, to calculate the mean value of phasor difference sequences between measurement points, establishes fault discrimination criteria, and achieves accurate location of faulty sections and branches. Simulation verification demonstrates that the proposed method has good adaptability to multi-branch collector lines and can significantly improve the accuracy of fault location.

International Journal of Electrical Power & Energy SystemsVol. 172
Kunming University of Science and Technology (CN)
Openalex Percentile: Top 10%
Power Systems Fault Detection
2.43
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