基于小波变换的配电网故障识别  

Distribution Network Fault Identification Based on Wavelet Transform

作　　者：阮祥淼[1] 朱瑞卿[2] 

机构地区：[1]信阳供电公司电力经济技术研究所 [2]河南理工大学后勤集团公司

出　　处：《煤矿机械》2014年第1期232-233,共2页Coal Mine Machinery

摘　　要：对小波变换的时频分析特征进行了详细研究,将其应用到配电网常见故障的识别中。在MATLAB/SIMULINK下搭建了系统仿真模型,对发生不同故障时的电流信息进行了特征提取,结果证明基于小波变换的方法不仅能对故障类型进行判别,而且还能准确确定出故障发生的时间。The wavelet transform time-frequency analysis characteristics have been studied in detail,and it was used in the identification of common faults in distribution network.The system simulation model was built based on MATLAB/SIMULINK,the current information characteristics of different fault was extracted,and the results show that the wavelet transform method not only can distinguish the fault type,but can determine the moment of failure accurately also.

关 键 词：故障识别 特征提取 小波变换 

分 类 号：TM31[电气工程—电机]