• DocumentCode
    2161387
  • Title

    A hybrid least squares-differential evolution based algorithm for harmonic estimation

  • Author

    Tartan, Emre Öner ; Erdem, Hamit

  • Author_Institution
    Teknik Bilimler Meslek Yuksekokulu, BASKENT Univ., Ankara, Turkey
  • fYear
    2012
  • fDate
    18-20 April 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    With the increasing use of nonlinear loads harmonic distortion has become an important problem in power quality. To prevent the adverse effects of harmonic distortion it is necessary to estimate the harmonics´ phase angles and amplitudes. In the last years, as an alternative to the conventional methods hybrid evolutionary computation algorithms have been proposed for harmonic estimation. In these hybrid algorithms, phase angles are optimized by an evolutionary computation algorithm and amplitudes are calculated by Least Squares (LS) Method. In this study, for the harmonic estimation problem a hybrid algorithm which uses Differential Evolution along with LS Method is proposed. The proposed algorithm is applied in simulations and accuracy - computation time performances are compared with the hybrid algorithm which uses PSOPC. From the obtained results it is seen that the proposed algorithm is more efficient.
  • Keywords
    amplitude estimation; evolutionary computation; harmonic distortion; least squares approximations; power system harmonics; evolutionary computation algorithm; harmonic estimation; harmonics amplitude estimation; harmonics phase angle estimation; hybrid least squares-differential evolution; nonlinear loads harmonic distortion; phase angle optimization; power quality; Algorithm design and analysis; Estimation; Harmonic analysis; Iron; Power harmonic filters; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2012 20th
  • Conference_Location
    Mugla
  • Print_ISBN
    978-1-4673-0055-1
  • Electronic_ISBN
    978-1-4673-0054-4
  • Type

    conf

  • DOI
    10.1109/SIU.2012.6204662
  • Filename
    6204662