Signal-Tuned Gabor Application in Islanding Detection in Distributed Generation at the Power System

Julio C. Ferreira¹; Jose R.A. Torreão²; Silvia M.C. Victer³

¹ Instituto Federal do Triangulo Mineiro; ² Instituto de Computacão, UFF; ³ Instituto Politecnico do Rio de Janeiro, UERJ

Resumo

The signal-tuned Gabor transforms are variant Gabor transforms based on temporal or spectral kernels whose parameters are defined, respectively, by the Fourier and inverse Fourier transforms of the analyzed signal. This yields time frequency transforms which are tuned to the specific features of their inputs, thus allowing analysis with high conjoint spectrotemporal resolution. Here we investigate the use of the signaltuned Gabor transforms as tool for the Islanding Detection in Distributed Generation Systems. We show that the signal-tuned Gabor transform based on the spectral kernel yields higherquality, more informative spectrograms, which are consistently superior to those afforded by the S transform

Palavras-chave: Power quality; Signal-tuned Gabor approach; S transform; Time-frequency analysis; Islanding; Detection