Classification of power quality disturbances using S-transform and TT-transform based on the artificial neural network

摘要: The classification of power quality (PQ) disturbances to improve the PQ is an important issue in utilities and industrial factories. In this paper, approach classify presented. First, a signal containing one disturbances, like sag, swell, flicker, interruption, transient, or harmonics, evaluated using proposed approach. Afterwards, S-transform TT-transform are applied artificial neural network used recognize disturbance data, variance mean values matrices. main features real-time very fast recognition disturbances. Finally, method's results compared with support vector machine k-nearest neighbor methods verify results. show effectiveness state-of-the-art