摘要
电力电缆是承载电能传输的重要介质,严重的电缆故障会危害电力系统的安全性和稳定性。电力电缆早期故障是一种伴随有电弧产生和消弧过程的间歇性故障,是常规过流保护装置无法检测到的。为了提高电力系统运行的可靠性,必须及早发现和处理潜在威胁,准确诊断出电力电缆早期故障。在对电力电缆早期故障类型和故障机理分析的基础上,梳理了电力电缆早期故障诊断技术的研究现状,指出了基于传统电气量分析的故障诊断方法和基于人工智能技术的故障诊断方法的研究方向,以此推进电力电缆早期故障诊断技术的研究和应用工作。
The power cables are important media for carrying electrical energy transmission,and serious cable faults can jeopardize the safety and stability of power system.Early faults in power cables are intermittent faults accompanied by arc generation and extinguishing process,which cannot be detected by conventional overcurrent protection devices.In order to improve the reliability of power system operation,it is necessary to detect and deal with potential threats early and accurately diagnose early faults in power cables.On the basis of analyzing the types and mechanisms of early faults in power cables,the research status of early fault diagnosis technology for power cables is summarized.The research directions of fault diagnosis methods based on traditional electrical quantity analysis and artificial intelligence technology are pointed out,in order to promote the research and application of early fault diagnosis technology for power cables.
作者
吴川兰
吴浩
邱富泓
任定帮
WU Chuanlan;WU Hao;QIU Fuhong;REN Dingbang(School of Automation and Information Engineering,Sichuan University of Science&Engineering,Yibin 644000,Sichuan,China;Key Laboratory of Artificial Intelligence in Sichuan Province,Yibin 644000,Sichuan,China)
出处
《光纤与电缆及其应用技术》
2025年第1期16-20,32,共6页
Optical Fiber & Electric Cable and Their Applications
基金
四川轻化工大学研究生创新基金资助项目(Y2024275)。
