小波变换在电网故障诊断中的应用  

Application of Wavelet Transform in Power Grid Fault Diagnosis

作　　者：王瑞[1] 施伟锋[1] 

机构地区：[1]上海海事大学物流工程学院,上海201306

出　　处：《电子科技》2014年第12期128-130,共3页Electronic Science and Technology

基　　金：上海市教委科研创新重点项目(12ZZ155);高等学校博士学科点专项科研基金(20123121110003)

摘　　要：故障特征作为故障诊断的重要信息,其提取方法研究备受关注。为提取电网短路故障的特征信息,在Matlab的Simpowersystem电力系统建模的基础上,运用小波变换的方法,对短路故障工况的暂态过程进行了分析和特征提取,其所提取的均方根值与不同的短路故障之间存在映射关系。证明了运用小波变换进行特征信息的提取,在电网短路故障诊断中具有一定的应用价值。Fault characteristics are important information of fault diagnosis, and great effort has been put to find a method for their extraction. In this paper, wavelet transform is used to analyze the transient signals of the fault information in an example power system simulated by simpowersystem of MATLAB and to extract the characteristic signal from the transient signals of the faults. The result shows that the RMS value extracted by the method of wavelet transform has a clear mapping relationship with the short-circuit faults, thus its value of applications in power grid fault diagnosis.

关 键 词：小波变换 特征提取 电网故障诊断 

分 类 号：TN911.6[电子电信—通信与信息系统] TM711.2[电子电信—信息与通信工程]