基于提升db4复小波暂态电能质量扰动检测与分类  

Detection and Classification of Transient Power Quality Disturbance Based on Lifting db4 Complex Wavelet

作　　者：曲正伟[1] 王婷婷[1] 郗宏伟[1] 鲍翔宇 

机构地区：[1]燕山大学电力电子节能与传动控制河北省重点实验室,秦皇岛066004

出　　处：《电测与仪表》2014年第8期26-32,共7页Electrical Measurement & Instrumentation

摘　　要：提出基于Euclidean分解算法的db4复小波的提升方案,并应用于暂态电能质量扰动信号的检测;对扰动信号和基波分量进行提升变换后得到幅值和相位信息分别作差,利用幅值差和相位差来确定扰动的幅度和时间,并根据扰动段的幅值差和相位差所反映的特征进行分类。仿真结果表明,与实小波和复小波相比,该算法进一步提高了暂态电能质量扰动信号定位的速度和精度,并为扰动信号的分类提供了新的重要依据。The Lifting scheme of db4 complex wavelet based on the Euclidean decomposition principle has been adopted in transient power quality disturbance signal detection. The differences of the amplitude and phase are obtained between the disturbance signals and the fundamental component by lifting and transforming, which are used to determine the disturbance amplitude and time. The classification has also been carried through based on the amplitude and phase information. Compared with real and complex wavelet, simulation results show that the proposed algorithm will further improve the speed and accuracy of transient power quality disturbances localization, and will provide a new idea for transient power quality disturbances classification.

关 键 词：复小波 提升方案 暂态电能质量 

分 类 号：TM933[电气工程—电力电子与电力传动]