Harmonic extraction based on Independent Component Analysis and quadrature matched filters

This paper presents a new method for harmonic extraction based on single channel independent component analysis (SCICA). There are in the literature some studies related to the extraction of harmonics and interharmonics from the power system signal based on SCICA, but usually they have a common limitation in the clustering stage required by the SCICA approach. The main innovation of the proposed method is the use of a quadrature matched filter bank to cluster the harmonics and separate them from the other signal components without the previously knowledge of the signal content. Additionally, the proposed method allows an adaptive response to the power system signal window. The proposed method was evaluated with three simulated cases, considering harmonics, interharmonics, sags and noise, showing promising results.