1.国网浙江省电力有限公司，杭州 310000;2.重庆大学 输配电装备及系统安全与新技术国家重点 实验室，重庆 400044;3.济南能源集团，济南 250011;4.浙江省送变电工程有限公司，杭州 310020
任广振（1983—），男，高级工程师，主要从事电力电缆运维检修，配网运维检修等，(E-mail)xyz981005@163.com。
王云鹤，男，博士研究生，(E-mail)1542253671@qq.com。
TM726.4
国网浙江省电力有限公司科技项目(5211DS20007P)。
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
Supported by Scientific and Technical Funds of Zhejiang Electric Power Corporation (5211DS20007P)．
严重的电力电缆局部绝缘缺陷会导致显著的电压电流扰动，准确检测出这种电缆初期故障产生的扰动，可以对即将发生永久故障的电力电缆进行及时的运维处理，防止无计划停电的发生。文中对现有相关研究进行全面综述，归纳现场收集到的各种电缆局部缺陷导致的电压电流扰动波形及波形特征；对现有文献报道的初期故障检测方法，按照其检测原理和使用的检测数据类型，从暂态电力扰动的时频特征阈值法和人工智能方法两个角度对检测方法进行综述，同时对不同方法进行分析和评价。基于现有研究成果，对电缆初期故障在线检测技术的进一步研究提出建议。
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.
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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