基于提升复小波的暂态电能质量扰动的检测与定位

Detection and Localization of Power Quality Transient Disturbances Based on Lifting Complex Wavelet

针对暂态电能质量扰动信号的检测与定位,提出一种基于第2代小波变换的提升复小波的提升算法。通过Euclidean分解算法得到复小波提升方案;利用该方案对常见的几种扰动信号进行提升变换,将变换后的幅值和相位信息用于暂态电能质量扰动的定位检测及扰动幅度估计;并与第1代小波变换进行比较。仿真结果表明,所提算法具有简单、运行速度快、检测精度高等优点,能够准确定位暂态电能质量扰动信号和计算扰动信号的变化幅度。

An improved algorithm based on the second generation wavelet transform of lifting complex wavelet transform was proposed to detect and localize transient power quality disturbances. In the new algorithm, the Euclidean decomposition principle is used to obtain complex wavelet lifting scheme, a lifting and transform on some common disturbances are made with the scheme, and the amplitude and phase information after lifting complex wavelet transform are applied to localizing transient power quality disturbances and estimating amplitude. A comparision between the proposed algorithm and the first generation wavelet transform was made, and the simulation results show that the proposed algorithm is simpler, faster, and accurater, and it can localizing transient power quality disturbances and estimating amplitude precisely.