基于小波变换和FFT的电能质量扰动分类

根据电能质量扰动的特点，提出了小波变换（WT）和FFT相结合的电能质量扰动分类方法。该方法的主要思想是：利用小波变换对突变点敏感的特性，用其进行突变点检测和定位，以有无模极大值来区分暂态和稳态扰动；利用FFT频域分析的优势，对其进行频谱分析，以扰动信号频谱的不同特点，对暂态和稳态扰动信号分别进行进一步分类；采取检测突变点间电压有效值的方法，对短时电压扰动信号进行进一步的分类。仿真分析表明该方法对于简单和复杂电能质量扰动信号均具有准确的分类能力。

Power Quality Disturbance Classification Based on WT and FFT

According to characteristic of power quality disturbances, this paper proposes a compositive classification method using both Wavelet Transform （WT） and FFT. The main theory is： utilizes WT to detect and locate break points based on its sensitivity characteristic, and according to whether maximum modulus has appeared to distinguish transient from steady state disturbances; utilizes FFT to make frequency spectrum analysis based on its advantage on frequency-domain analysis, and according to different spectrum characteristics to carry out further classification for transient and steady state disturbances respectively; detects voltage virtual value between abrupt changes to classify the short duration voltage disturbances. Simulation analysis verifies the accuracy for both simple and complex power quality disturbances.