Review of incipient insulation fault detection methods for power cables

doi:10.11835/j.issn.1000-582X.2022.212

Home > Archive>Volume 46, Issue 11, 2023 >1-12. DOI:10.11835/j.issn.1000-582X.2022.212

Review of incipient insulation fault detection methods for power cables
DOI:
                        10.11835/j.issn.1000-582X.2022.212
                    
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                        REN Guangzhen1REN Guangzhen
State Grid Zhejiang Electric Power Corporation, Hangzhou 310000, P. R. China
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WANG Yunhe2WANG Yunhe
State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, P. R. China
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CAO Junping1CAO Junping
State Grid Zhejiang Electric Power Corporation, Hangzhou 310000, P. R. China
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CHEN Weishao3CHEN Weishao
Jinan Energy Group,Jinan 250011, P. R. China
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CHENG Cheng4CHENG Cheng
Zhejiang Power Transmission and Transformation Engineering Co., Ltd., Hangzhou 310020, P. R. hina
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YONG Jing2YONG Jing
State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, P. R. China
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Affiliation:1.State Grid Zhejiang Electric Power Corporation, Hangzhou 310000, P. R. China;2.State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, P. R. China;3.Jinan Energy Group,Jinan 250011, P. R. China;4.Zhejiang Power Transmission and Transformation Engineering Co., Ltd., Hangzhou 310020, P. R. hina
Clc Number:TM726.4
Fund Project:Supported by Scientific and Technical Funds of Zhejiang Electric Power Corporation (5211DS20007P)．

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Abstract:

Serious local insulation defects in power cables can cause distinct voltage and current disturbances. Precisely identifying these disturbances empowers utility companies to proactively manage cable maintenance and prevent unexpected power outages. This paper presents a comprehensive review of related research, detailing voltage and current disturbance waveforms across different systems. It categorizes existing incipient fault detection methods based on detection principles and data types, distinguishing between time-frequency characteristic threshold-based and artificial intelligence-based methods for transient power disturbances analysis. The study conducts a thorough comparison and evaluation of these methods. Drawing from existing research, recommendations are provided for further research on online detection technology for cable incipient faults.

Key words:power cable;local insulation defects;transient power disturbance;detection method;online detection

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任广振,王云鹤,曹俊平,陈维召,成城,雍静.电力电缆初期绝缘故障检测方法综述[J].重庆大学学报,2023,46(11):1~12

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Received:June 14,2022
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Online: November 28,2023
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