• DocumentCode
    25220
  • Title

    Power System Harmonics Estimation Using Clonal Selection Algorithm

  • Author

    Holanda, L. ; Rabelo, Ricardo ; Lemos, Marcus ; Barbosa, D.

  • Author_Institution
    Univ. Estadual do Piaui, Teresina, Brazil
  • Volume
    11
  • Issue
    1
  • fYear
    2013
  • fDate
    Feb. 2013
  • Firstpage
    525
  • Lastpage
    530
  • Abstract
    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).
  • Keywords
    genetic algorithms; harmonic distortion; power system harmonics; CLONALG technique; clonal selection algorithm; distorted waveform; harmonic component identification; harmonic distortion; multidimensional space; power system harmonics estimation; search-optimization technique; three-phase current waveform; three-phase voltage waveform; Cloning; Discrete Fourier transforms; Estimation; Harmonic analysis; Harmonic distortion; Plasmas; Power system harmonics; clonal selection; harmonic estimation; power quality;
  • fLanguage
    English
  • Journal_Title
    Latin America Transactions, IEEE (Revista IEEE America Latina)
  • Publisher
    ieee
  • ISSN
    1548-0992
  • Type

    jour

  • DOI
    10.1109/TLA.2013.6502856
  • Filename
    6502856