摘要
在传统小波包算法中,虽然提高了频率分辨率,但是各子带存在产生虚假频率成分的情况,应用于电力系统谐波分析将产生严重的频率混叠现象。应用单节点重构改进小波包快速算法,利用快速傅里叶变换(FFT)和快速傅里叶逆变换(IFFT)对各子带信号进行处理,并调整滤波器组使子带频带顺序排列。通过仿真实例将改进算法的结果与传统算法进行对比,结果证明,改进算法能更有效地避免重构信号中的频谱混叠和交错现象。
Although traditional wavelet packet algorithm improves the frequency resolution ratio,the sub-band generates false frequency components. The application of traditional algorithm in power system harmonic analysis would result in severe frequency aliasing.Wavelet packet fast algorithm is improved by single-node reconstruction,Fast Fourier Transform（FFT） and Inverse Fast Fourier Transform（IFFT） are applied to process sub-band signals and the filter unit is adjusted to make sub-band frequency band in order.Compared with the traditional algorithm by the simulation,the results show that the improved algorithm can effectively avoid the spectrum aliasing and interlacing phenomenon in the reconstruction of the signal.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2011年第3期74-77,94,共5页
Power System Protection and Control
基金
河北省教育厅科技研究指导项目
关键词
小波包变换
谐波
频率混叠
交错
单节点重构
wavelet package transform
harmonic
frequency aliasing
interlacing
single-node reconstruction
