基于小波变换的励磁涌流识别方法研究  

Research on Inrush Current Identification Method Based on Wavelet Transform

作　　者：李晓[1] LI Xiao(Anhui Huainan Pingwei Power Generation Co.,Ltd.,Huainan 232089,China)

机构地区：[1]安徽淮南平圩发电有限责任公司,安徽淮南232089

出　　处：《电工技术》2022年第6期144-145,148,共3页Electric Engineering

摘　　要：当前的励磁涌流识别方法误差偏大,难以区分电力故障类别。为此,提出基于小波变换的励磁涌流识别方法。引入小波变换方法,结合塔式算法,完成电力离散信号的分解。通过小波重构滤波器,重构电力离散分解信号。针对励磁涌流识别中故障类别判断难的问题,利用小波能量谱图解法来区分电力系统变压器励磁涌流故障和内部短路电流,完成励磁涌流识别的优化。实验结果表明,研究方法的励磁涌流识别结果与真实情况一致,具有较好的识别准确率。the error of the current inrush current identification method is too large to distinguish the types of power faults.Therefore,an inrush current identification method based on wavelet transform is proposed.Wavelet transform method and tower algorithm are introduced to decompose power discrete signal.The power discrete decomposition signal is reconstructed by wavelet reconstruction filter.Aiming at the difficult problem of fault category judgment in inrush current identification,the wavelet energy spectrum graphical method is used to distinguish the inrush current fault and internal short-circuit current of power system transformer,and the optimization of inrush current identification is completed.The experimental results show that the magnetizing inrush current identification results of the research method are consistent with the real situation,and have good identification accuracy.

关 键 词：小波变换 励磁涌流 识别方法 塔式算法 小波重构滤波器 

分 类 号：TM452.8[电气工程—电器]