Wavelet-based measurement and classification of power quality disturbances

This paper introduces a wavelet-based method for detecting, localizing, quantifying and classifying short duration power quality disturbances. It can take the fast dyadic scheme not the time consuming shift-invariant scheme. Novel binary features are defined and extracted from time or WT domain, and then a simple binary-decimal conversion is sufficient for classification purpose. This benefits the method in both speed and accuracy.