LAPSE:2023.36739
Published Article
LAPSE:2023.36739
Fault Location Study of Overhead Line−Cable Lines with Branches
Wensi Cao, Lixing Zhao, Zhaohui Li, Jianming Chen, Mingming Xu, Rongze Niu
September 21, 2023
A new fault location method based on the three-terminal travelling wave method is proposed for the fault location problem of multi-branch overhead line−cable transmission lines. Firstly, the process of fault travelling wave propagation in overhead transmission lines and the phenomenon of refraction are analysed, and an improved phase-mode transformation is introduced to decouple the electromagnetic coupling and perform fault phase selection. Secondly, the Pearson correlation coefficient is introduced to compare the similarity of the current travelling waveforms at different measurement points in order to implement fault segmentation. To solve the problems of the complexity of the fault travelling wave propagation process and the difficulty of identifying the travelling wavehead, the Hilbert−Huang transform is used to extract the fault signal characteristics, and the travelling wave arrival moment is accurately calculated by the sampling error correction method to determine the fault location. Finally, the accuracy and stability of the method are verified via a simulation test on the MATLAB/Simulink platform. The results show that the proposed positioning method combining the three-terminal travelling wave method with HHT and sampling error correction can locate the fault location more accurately, and it has good potential for application in the engineering field. It provides a new technical means for fault location in overhead transmission lines, which is expected to become one of the most important technologies in the future power system.
Keywords
fault location, fault zone determination, Hilbert yellow transformation, sampling error correction, three-terminal travelling wave method
Suggested Citation
Cao W, Zhao L, Li Z, Chen J, Xu M, Niu R. Fault Location Study of Overhead Line−Cable Lines with Branches. (2023). LAPSE:2023.36739
Author Affiliations
Cao W: School of Electrical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China [ORCID]
Zhao L: School of Electrical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Li Z: School of Electrical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China [ORCID]
Chen J: School of Electronic Information and Intelligent Manufacturing, Sias University, 168 Renmin Road, Xinzheng 451150, China
Xu M: State Grid Henan Electric Power Research Institute, Zhengzhou 450002, China
Niu R: State Grid Henan Electric Power Research Institute, Zhengzhou 450002, China
Journal Name
Processes
Volume
11
Issue
8
First Page
2381
Year
2023
Publication Date
2023-08-07
Published Version
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr11082381, Publication Type: Journal Article
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LAPSE:2023.36739
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doi:10.3390/pr11082381
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Sep 21, 2023
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CC BY 4.0
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[v1] (Original Submission)
Sep 21, 2023
 
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Sep 21, 2023
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Original Submitter
Calvin Tsay
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