LAPSE:2023.6695v1
Published Article

LAPSE:2023.6695v1
Partial Discharge Detection and Defect Location Method in GIS Cable Terminal
February 24, 2023
Abstract
The complex structure of gas-insulated switchgear (GIS) cable terminals leads to serious electric field concentration, which is a frequent fault position of a high-voltage cable system. At present, due to the differences in the frequency bands of sensors, various partial discharge detection technologies have certain differences in their scope of application and anti-interference performance, resulting in a low defect detection rate in GIS cable terminals. In this paper, a comprehensive diagnosis scheme is proposed, which integrates transient earth voltage (TEV), ultra-high frequency (UHF), high frequency (HF), and ultrasonic methods. Two abnormal discharge defects of GIS terminals in two 220 kV substations in Tianjin were tracked and monitored, and the joint diagnosis was carried out using the proposed scheme; the type of discharge defect and the phase sequence of the defect were determined, and the UHV was employed to precisely locate and analyze the defect source. Finally, through the disassembly analysis and electric field simulation of the GIS cable terminal, the accuracy and effectiveness of the discharge detection and location method were verified, providing a typical detection demonstration for the defect diagnosis of a GIS cable terminal.
The complex structure of gas-insulated switchgear (GIS) cable terminals leads to serious electric field concentration, which is a frequent fault position of a high-voltage cable system. At present, due to the differences in the frequency bands of sensors, various partial discharge detection technologies have certain differences in their scope of application and anti-interference performance, resulting in a low defect detection rate in GIS cable terminals. In this paper, a comprehensive diagnosis scheme is proposed, which integrates transient earth voltage (TEV), ultra-high frequency (UHF), high frequency (HF), and ultrasonic methods. Two abnormal discharge defects of GIS terminals in two 220 kV substations in Tianjin were tracked and monitored, and the joint diagnosis was carried out using the proposed scheme; the type of discharge defect and the phase sequence of the defect were determined, and the UHV was employed to precisely locate and analyze the defect source. Finally, through the disassembly analysis and electric field simulation of the GIS cable terminal, the accuracy and effectiveness of the discharge detection and location method were verified, providing a typical detection demonstration for the defect diagnosis of a GIS cable terminal.
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Keywords
dissection analysis, electric field distribution, GIS cable termination, joint diagnoses, UHF
Subject
Suggested Citation
Li S, Song P, Wei Z, Li X, Tang Q, Meng Z, Li J, Liu S, Wang Y, Li J. Partial Discharge Detection and Defect Location Method in GIS Cable Terminal. (2023). LAPSE:2023.6695v1
Author Affiliations
Li S: State Grid Tianjin Electric Power Research Institute, Tianjin 300384, China
Song P: State Grid Tianjin Electric Power Research Institute, Tianjin 300384, China
Wei Z: Power Cable Company, Tianjin 300300, China
Li X: State Grid Tianjin Electric Power Research Institute, Tianjin 300384, China
Tang Q: State Grid Tianjin Electric Power Research Institute, Tianjin 300384, China
Meng Z: State Grid Tianjin Electric Power Research Institute, Tianjin 300384, China
Li J: State Grid Tianjin Electric Power Company, Tianjin 300100, China
Liu S: State Grid Tianjin Electric Power Research Institute, Tianjin 300384, China
Wang Y: Key Laboratory of Smart Grid of Education Ministry, School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China [ORCID]
Li J: Key Laboratory of Smart Grid of Education Ministry, School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China [ORCID]
Song P: State Grid Tianjin Electric Power Research Institute, Tianjin 300384, China
Wei Z: Power Cable Company, Tianjin 300300, China
Li X: State Grid Tianjin Electric Power Research Institute, Tianjin 300384, China
Tang Q: State Grid Tianjin Electric Power Research Institute, Tianjin 300384, China
Meng Z: State Grid Tianjin Electric Power Research Institute, Tianjin 300384, China
Li J: State Grid Tianjin Electric Power Company, Tianjin 300100, China
Liu S: State Grid Tianjin Electric Power Research Institute, Tianjin 300384, China
Wang Y: Key Laboratory of Smart Grid of Education Ministry, School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China [ORCID]
Li J: Key Laboratory of Smart Grid of Education Ministry, School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China [ORCID]
Journal Name
Energies
Volume
16
Issue
1
First Page
413
Year
2022
Publication Date
2022-12-29
ISSN
1996-1073
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PII: en16010413, Publication Type: Journal Article
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LAPSE:2023.6695v1
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https://doi.org/10.3390/en16010413
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Feb 24, 2023
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