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电力系统外绝缘污秽状态在线监测
引用本文:马丽婵,郑晓泉,别成亮,马媛媛.电力系统外绝缘污秽状态在线监测[J].绝缘材料,2007,40(4):56-59.
作者姓名:马丽婵  郑晓泉  别成亮  马媛媛
作者单位:西安交通大学,电力设备电气绝缘国家重点实验室,西安,710049;西安交通大学,电力设备电气绝缘国家重点实验室,西安,710049;西安交通大学,电力设备电气绝缘国家重点实验室,西安,710049;西安交通大学,电力设备电气绝缘国家重点实验室,西安,710049
摘    要:概述了电力系统外绝缘污秽状态的在线监测原理,对比分析了国内外不同监测方案的优缺点。研究了各种污秽在线监测报警模型,指出了人工智能的使用在污秽监测报警中的作用及存在的问题。最后总结了电力线路故障在线测距与定位的方法,指出了电力系统外绝缘污秽状态在线监测的发展方向。

关 键 词:绝缘子  泄漏电流  在线监测  神经网络  模糊控制
文章编号:1009-9239(2007)04-0056-04
修稿时间:2007-05-20

Monitoring On-line Contamination State of External Insulators for Power System
MA Li-chan,ZHENG Xiao-quan,BIE Cheng-liang,MA Yuan-yuan.Monitoring On-line Contamination State of External Insulators for Power System[J].Insulating Materials,2007,40(4):56-59.
Authors:MA Li-chan  ZHENG Xiao-quan  BIE Cheng-liang  MA Yuan-yuan
Abstract:The principle of monitoring on-line the contamination state of external insulator for power system was summarized.The advantages and disadvantages of different monitoring projects at home and abroad were compared and analyzed.The model for monitoring on-line various contamination states was researched.The function and existing problems of artificial intelligence used in the monitoring were investigated.Finally,the technique of on-line fault distance measurement and fault location for power lines was summarized;and the developing trend of on-line monitoring the contamination states of external insulators was predicted.
Keywords:insulator  leakage current  monitoring on-line  neural network  fuzzy control
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