Análise de distúrbios relacionados com a qualidade da energia elétrica utilizando a transformada Wavelet / Analysis of power quality disturbances using Wavelet transform

AUTOR(ES)
DATA DE PUBLICAÇÃO

2003

RESUMO

The aim of the present dissertation is to apply the Wavelet transform to analyze power quality problems, detecting, localizing and classifying them. The topic Wavelet transform, has appeared in the literature as a new tool for the analysis of signals, using functions called mother Wavelet to map signals in its domain, supplying information in the time and frequency domain, simultaneously. Wavelet transform is accomplished through filters decomposing a provided signal in multiresolution analysis. The detection and localization of disturbances are obtained by decomposing a signal into two other signals that represent, a detailed version (high frequency signals) and a smoothed version (low frequency signals). The smoothed version is decomposed again, and new detailed and smoothed signals are obtained. This process is repeated as many times as necessary and the disturbances can be detected and localized in the time as a function of its level frequency. This information also supplies characteristics to each disturbance, allowing classifying them. Thus, this research presents a way to develop an automatic classifying algorithm of power quality disturbances, based only on multiresolution analysis.

ASSUNTO(S)

qualidade da energia multiresolution analysis wavelet transform análise multiresolução classificação de distúrbios transformada wavelet power quality classifying disturbances

ACESSO AO ARTIGO

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