Fault Section Location in Distribution Networks Based on Zero-Sequence Current Correlation

To address the challenges of low sensitivity, high implementation costs, and insufficient real-time performance in fault location for distribution networks, this article proposes a fault section location method based on zero-sequence current correlation. By analyzing the correlation differences between zero-sequence current waveforms from both ends of the fault section, this article constructs a correlation coefficient model to quantify signal similarity, enabling fault location through threshold discrimination. Simulation results demonstrate that the proposed method achieves accurate fault location using only single-event fault current data. Compared with existing techniques, our approach requires no additional hardware support, significantly reducing implementation costs and time overhead, thereby providing an efficient solution for distribution network fault diagnosis.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/icetac65964.2025.11144244
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
0.00

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article

Fault Section Location in Distribution Networks Based on Zero-Sequence Current Correlation

Yizhao Wang, Lujin Wang, Yingjie Yan, Zhihua Zhang et al.
Power Systems Fault Detection
article

Fault Section Location in Distribution Networks Based on Zero-Sequence Current Correlation

Yizhao Wang, Lujin Wang, Yingjie Yan, Zhihua Zhang, Yadong Liu, Hua Xu
article en

Abstract

To address the challenges of low sensitivity, high implementation costs, and insufficient real-time performance in fault location for distribution networks, this article proposes a fault section location method based on zero-sequence current correlation. By analyzing the correlation differences between zero-sequence current waveforms from both ends of the fault section, this article constructs a correlation coefficient model to quantify signal similarity, enabling fault location through threshold discrimination. Simulation results demonstrate that the proposed method achieves accurate fault location using only single-event fault current data. Compared with existing techniques, our approach requires no additional hardware support, significantly reducing implementation costs and time overhead, thereby providing an efficient solution for distribution network fault diagnosis.

Electric Power Research Institute (US), State Grid Corporation of China (China) (CN), Shanghai Jiao Tong University (CN)
China Postdoctoral Science Foundation
Openalex Percentile: Top 71%
Power Systems Fault Detection
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