This work presents a comparative study amongst tools for the analysis of Power Quality, emphasizing the Windowed Fourier Transform (WFT), the Wavelet Transform (WT) as well as Artificial Neural Networks (ANN). From the tools mentioned, the WFT and WT are applicable to the detection, location and classification of abnormalities related to voltage waveforms in a distribution system for the diagnosis of the present situation. As it will be shown, the classification of the phenomena can also be performed using alternative methods, as the ANN. Tests show that the mentioned tools have great potentiality to be applied to the evaluation of Power Quality. Some peculiarities of each tool will be emphasized.
Power Quality; Wavelet Transform; Windowed Fourier Transform and Artificial Neural Networks
