Separação cega de fontes aplicada ao compartilhamento de responsabilidades sobre as distorções harmônicas

Abstract

One of the greatest challenges in power quality has been, and still is, the establishment of a reliable non-invasive method for qualifying and quantifying the harmonic contributions of an electric utility and consumer at the Point of Common Coupling (PCC). This difficulty arises from the fact that the harmonic distortions measured at the PCC are unidentifiable mixtures from both parties. In this way, it becomes evident the correlation between sharing harmonic responsibility and the classical Blind Source Separation problem (BSS), which seeks to separate the signals that composed an observed mixture, without, however, having previous information about the original ones and the way they were mixed. In this context, this work aims to develop and evaluate a non-invasive methodology, based on BSS methods, capable to effectively promote the sharing of harmonic responsibilities between electric utility and consumer at the PCC. More specifically, due to the nature of electrical loads, the methodology presented here will be based on BSS methods based on Independent Component Analysis (ICA) and will be evaluated both computationally and experimentally for different operating conditions and then, the results will be compared with other methods proposed in the literature.