应用原子分解的电能质量扰动信号特征提取方法

Power Quality Disturbance Features Extraction Based on Atomic Decomposition

提出一种应用原子分解实现的电能质量扰动信号特征提取方法。该方法以Gabor原子库和匹配追踪算法为基础,从扰动信号中迭代求取Gabor原子成分,再将Gabor原子转化为衰减正弦量原子,获得电能质量信号中各种扰动成分参量化的原子解析表示。用初始残余能量的阈值作为原子分解迭代终止条件,以改善特征提取效果。该方法可准确定量地提取各扰动成分的起止时刻、幅值、频率和变化规律等扰动特征,适用于暂态扰动、稳态扰动和多重扰动。算例分析验证了所提出的方法的有效性。

An atomic decomposition based power quality （PQ） disturbance analyzing method is introduced. The method applies dictionary of Gabor atoms and matching pursuit algorithm to extract the atomic components iteratively from the PQ disturbance signals. The extracted Gabor atomic components are translated to damped sinusoidal components and the parametrical and analytical representation of atomic components for the PQ disturbances is obtained. In order to extract the features more effectively, the ending condition of decomposing iteration is determined by a threshold referred to the initial residual energy. As a result, the proposed method can precisely extract the starting and ending moment of disturbances as well as their magnitudes, frequencies and other features, suitable for analyzing PQ disturbances including static, transient and multiple ones. Examples indicate the effectiveness of the proposed method.