基于小波变换的数字化变电站电子式互感器突变性故障诊断方法  

Diagnosis of Abrupt-Changing Fault of Electronic Instrument Transformer in Digital Substation Based on Wavelet Transform

作　　者：熊小伏[1] 何宁[1] 于军[1] 陈星田[1] 字美荣[2] 胡之荣[2] 

机构地区：[1]输配电装备及系统安全与新技术国家重点实验室(重庆大学),重庆市沙坪坝区400030 [2]云南电网公司昆明供电局,云南省昆明市650011

出　　处：《电网技术》2010年第7期181-185,共5页Power System Technology

基　　金：国家自然科学基金资助项目(50777068);重庆大学输配电国家重点实验室项目(2007DA10512709202)的资助~~

摘　　要：目前对电子式互感器运行状态识别的研究开展较少,缺乏有效手段对其进行在线监测和故障诊断。通过分析电力一次系统电气量变化特点,提出了基于小波理论的电子式互感器诊断方法。通过多尺度模极大值综合处理方法定位信号的突变时刻,将处理后的各互感器信号的突变时刻进行比较,根据所提判据来区分异常信号是来自互感器自身故障,还是来自一次系统的信号突变。Matlab仿真验证了该方法能准确定位信号突变时刻,有效识别互感器的异常状态。At present, the report related to the research on recognition of operation state of electronic instrument transformers is rarely seen, it is short of effective measures for their on-line monitoring and fault diagnosis. On the basis of analyzing the variation features of electric quantities in primary system of power grid, a wavelet theory based diagnosis approach for electronic instrument transformers is proposed. By means of synthetical processing of multi-scale modulus maxima, the abrupt change moment of signal is determined and abrupt change moments of processed signals of all electronic instrument transformers are compared; then the proposed diagnostic criterion is used to distinguish whether the abnormal signal comes from its own fault of electronic instrument transformer or from the abrupt change of signal in primary system. Simulation results by Matlab verify that the proposed diagnostic criterion can accurately determine the moment when abrupt change of signal occurs and the abnormal state of electronic instrument transformers can be effectively identified.

关 键 词：电子式互感器 数字化变电站 故障诊断 小波变换 

分 类 号：TM45[电气工程—电器]