Estimação de Componentes Harmônicos de Sistemas Elétricos de Potência por meio do Algoritmo de Seleção Clonal (Power System Harmonics Estimation Using Clonal Selection Algorithm)

Luanna Holanda (, Ricardo Rabelo (, Marcus Lemos (, Daniel Barbosa (

1State University of Piaui
2University of Salvador

This paper appears in: Revista IEEE América Latina

Publication Date: Feb. 2013
Volume: 11,   Issue: 1 
ISSN: 1548-0992

The three-phase voltage and current waveforms from an Power System (PS) are not considered pure sinusoids due to the presence of, among others, the harmonic distortion. This paper presents an approach based on Clonal Selection algorithm for the estimation of harmonic components. The Clonal Selection Algorithm (CLONALG) is a technique of search / optimization inspired by the theory of Clonal Selection. The technique uses an population of antibodies to search within a multi-dimensional space. The results demonstrate that the method can accurately identify the harmonic components in a distorted waveform, and are better than the results obtained by a classical technique (Discrete Fourier Transform).

Index Terms:
harmonic estimation, power quality, clonal selection   

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