小波变换在牵引供电系统谐波检测中的应用  

Application of Wavelet Transform in Harmonic Measurement in Traction Power Supply System

作　　者：赵闻蕾[1,2] 邹积岩[1] 赵红丽[2] 张明[1] 

机构地区：[1]大连理工大学电气工程学院,辽宁大连116024 [2]大连交通大学电气信息学院,辽宁大连116028

出　　处：《铁道学报》2010年第3期131-135,共5页Journal of the China Railway Society

基　　金：辽宁省大连市信息产业局资助项目(200840);大连市经委科技基金资助项目(X79746)

摘　　要：采用一种基于小波包分解系数重构算法的谐波分析方法完成谐波有效值测量和信号畸变定位,实现牵引供电系统的各次谐波跟踪,对谐波的实时补偿提供理论依据。通过利用小波变换将某一信号分解到某一频带上,根据采样频率及其小波包分解尺度确定频带范围,实现该频带所包含的谐波含量分析,获得频带内所有整数次和非整数次谐波量值,克服谐波测量因频谱泄漏、栅栏效应造成的误差。仿真结果表明,基于小波包分解系数重构算法的谐波含量测量方法得出的结果具有较高的准确性,为谐波检测和滤波补偿提供了可靠的理论基础。This paper adopts a new harmonic analysis method based on the reconstruction of wavelet packet decomposed coefficients to accomplish harmonic effective value measurement and localization of signal distortion,to realize tracking of all harmonic waves of the traction power system and to supply the theoretical basis for harmonic real-time compensation.Wavelet transform is used to decompose some signal to a certain frequency band.The range of the frequency band can be determined according to the sampling frequency and wavelet packet decomposed scale.Harmonic content analysis is realized in this frequency band and all integral and non-integral harmonics are obtained.This method can overcome the errors in harmonic measurement caused by spectrum leak and fence effect.The Matlab/Simulink simulation results show that harmonic measurement based on reconstruction of wavelet packet decomposed coefficients achieves high degree of accuracy.

关 键 词：小波变换 小波包分解系数重构算法 有源电力滤波器 谐波 MATLAB/SIMULINK 

分 类 号：U223.6[交通运输工程—道路与铁道工程]