LAUSR

Nowadays, the identification and mitigation of power quality (PQ) disturbances are very important issues for electric companies and industries. In this paper, a new method is presented for the classification of PQ disturbances. At first, the proposed characteristics are extracted from the waveforms of the disturbances using S-transform (ST). Then, based on the values of these characteristics, the types of the disturbances are determined. This method is evaluated under noisy and noiseless conditions on a database of 7000 simulated waveforms describing fourteen types of PQ disturbances, which include impulse, interruption, swell, sag, notch, oscillatory transient, harmonic, and flicker as single disturbances with their six possible combinations. The results of this study demonstrate the acceptable accuracy of the proposed method in identifying the disturbances in addition to its very low sensitivity under various noisy conditions.