Classification of power quality disturbance based on wavelet energy distribution and neural network
Xuefei Chang · Dianli zidonghua shebei · 2009
An automatic method of PQ(Power Quality) disturbance classification is proposed,which uses wavelettrans form to perform multi-resolution analysis of the original PQ signals and calculates the energy distribution of each level.The difference of energy distribution between the original PQ signals and the standard signals is used as the input of a three-layer BP neural network and its output is the classification of PQ disturbance.The method transforms wavelet coefficients into energy distribution to reduce the number of signal characteristic variables and simplify the structure of neural network.Test results indicate that the identification correctness rate is about 94.5 % even under strong noisy background,showing its effectiveness.