Separação de componentes harmônicos e inter-harmônicos variantes no tempo através de métodos de separação cega de sinais

Abstract

The power distribution network is susceptible to several Power Quality disturbances. Among these disturbances, we can emphasize harmonics and interharmonics resulting from power electronic equipment operation, such as rectifiers, inverters and converters. This work presents the use of signal processing techniques for decomposing the electrical signal into different estimates of harmonic and interharmonic components that vary or not over time. It uses a variation of the SCICA (Single Channel Independent Component Analysis) technique in which the clustering stage is changed and the blind source separation algorithm (BSS) known as SOBI (Second-Order Blind Identification) with modification proposals in this work, to separate the distorted signal into its individual components. The separation process of the components is seen, in this work, as a filtering process by a filter bank, whose filters are designed from the previous techniques. In addition, an integrated system is used to control when the filter bank must be redesigned or not, by checking the reconstruction error of the filter bank outputs in relation to the original signal. This work concluded that the modifications and the use of integrated system allowed better performance in the design of filters using less computational effort.