基于空间谱估计的多局部放电源分辨和定位  

Multiple partial discharge sources identification and location based on spatial spectrum estimation

作　　者：周力行[1] 罗旖旎[1] 

机构地区：[1]长沙理工大学电气与信息工程学院,湖南长沙410076

出　　处：《电力科学与技术学报》2007年第4期11-15,共5页Journal of Electric Power Science And Technology

基　　金：湖南省自然科学基金资助项目(04JJ40034);长沙理工大学博士基金项目

摘　　要：提出基于空间谱估计的变压器局部放电源定位方法.利用电磁矢量传感器检测局部放电特高频(UHF)信号,该传感器是一个六元天线阵,能同时检测入射UHF信号的6个电磁场分量.对传感器输出数据进行窄带滤波,应用信息论的最小描述长度准则或平滑秩序列法估计局部放电源数,并应用空间谱估计理论中的多重信号分类算法实现多局部放电源的分辨和定位。通过仿真和实验研究,证明了单个电磁矢量传感器可以分辨并定向追踪3个局部放电源.Spatial spectrum estimation is proposed to solve the problem of multiple PD sources identification and locating in the paper. An electromagnetic vector sensor （EMVS） is applied to detect partial discharge （PD） UHF signal. It is a six-element antenna array and capable of measuring all six components of the electric and magnetic fields induced by UHF signals. Using the narrowband data filtered from its output signal, the number of PD sources can be estimated exactly by using minimal information describe length rule （MDL） or smoothness order method; the spatial parameters and polarizations of PD sources can also be obtained by adopting multiple signal classification algorithm. Simulate and experiment results show that the method is capable of identifying three PD sources and estimating their azimuths, elevations and polarizations.

关 键 词：局部放电 多重信号分类算法 空间普估计 电磁矢量传感器 

分 类 号：TM407[电气工程—电器] TM41