摘要
因目前仍缺乏较为有效的MOA绝缘在线诊断理论和方法,故很难做出准确的绝缘状态在线诊断。为此首先研发了MOA在线监测系统,给出了电压信号采样模块、电流信号采样模块、雷击计数模块、无线通信模块和A/D校准模块等电路的设计;并引入灰关联分析来量化MOA在线监测数据与环境因素之间的关联关系,对从在线监测装置传回的阻性电流I、相对湿度Hr和温度θ做灰关联分析,找出与MOA的阻性电流I关联度最大的气象因素。运行结果表明:小电流数据中#125杆塔的最大关联度为0.9238,大电流数据中#125杆塔的最大关联度为0.9226,其最强列均为相对湿度列,因此各气象因素均与阻性电流相关,且相对湿度关联度最大。
It is very difficult to online diagnose the insulation of MOA due to the lack of effective theory and methods of online monitoring of MOA.Firstly,an online monitoring system of MOA was produced,the voltage sampling circuit,current sampling circuit,lightning counting circuit,wireless communication unit and A/D correcting circuit of which were designed.The grey relational analysis was introduced into quantifying the similarity between online monitoring data of MOA and environmental factors.The resistant current I,relative humidity Hr,temperature θ were analyzed and the climatic factors with maximum relation degree was determined.The running results show that the maximum relational degree with low current of NO.125 tower is 0.9238,the degree with high current is 0.9225,and the row with maximum relation degree is relative humidity.Then the current of MOA is influenced by above climatic factors and greatly by relative humidity.
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2010年第6期1468-1474,共7页
High Voltage Engineering
基金
国家重点基础研究发展计划(973计划)(2009CB724507-3)
中国博士后基金(20090460759)
陕西省重大科技专项(2009ZKC02-13)
陕西省教育厅自然科学专项(09JK468)~~
关键词
MOA
温度
湿度
灰关联分析
泄漏电流
雷击
在线监测
metal-oxide arresters
temperature
humidity
grey relational analysis
leakage current
lightning
on-line monitoring
