Power Quality Classification Using Neuro Fuzzy Logic Inference System

In this paper a power quality classification problem has been addressed. A proposed technique using Adaptive Neuro Fuzzy Inference System has been introduced to classify different type of disturbance events. The proposed technique uses fast Fourier transform and wavelet transform to extract five distinguish features of power disturbances types. The system considers four types of disturbances: sag, swell, harmonic and flicker.