摘要
为了对GIS不同绝缘缺陷局放超高频(Ultra High Frequency,UHF)信号与视在放电量(pC)之间的对应关系,即UHF信号标定技术进行研究,在GIS内模拟了四种典型缺陷模型,选取300～400MHz、700～800MHz、1.4～1.5GHz以及0.3～3GHz等四种检测频段,对不同缺陷UHF信号标定进行研究,并采用多种数学回归模型和拟合优度校验指标对标定结果分别进行回归分析和拟合优度校验分析。研究发现,同一类型缺陷在不同检测频段上UHF信号幅值(mV)与视在放电量(pC)之间存在较为明显的对应关系,不同频段间对应关系存在差异,可以近似采用一元线性多项式回归模型对不同类型缺陷UHF信号幅值进行放电量标定。
In order to analyze the corresponding relations between UHF signals from different kinds of defects in GIS and apparent discharge （pC）, that is the calibration technique for UHF signals, four common defects in GIS are proposed in this paper, and four frequency bands including the 300-400MHz, 700-800MHz, 1.4-1.5GHz and 0.3-3GHz, are selected to calibrate the UHF signal of each defect. After that different mathematical regression models and the calibration indexes of goodness of fit are established for the regression and calibration analysis of the results. After the research, we find that there is obvious corresponding relation between the amplitude （mV） and apparent discharge for the same type of defects in different kinds of detection frequency bands. Besides, there are differences between different bands, and the unary linear polynomial regression model may be approximately used for calibrating the UHF signal amplitude for different kinds of defects.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2012年第21期7-13,共7页
Power System Protection and Control
关键词
GIS
局部放电
超高频标定
数学回归模型
拟合优度校验
partial discharge
GIS
UHF calibration
mathematical regression models
verification for goodness of fit
作者简介
王辉（1982-），男，博士，主要研究方向为高压电气设备绝缘状态诊断与在线监测技术。E-mail：frankhery@hotmail．com
