• DocumentCode
    3094846
  • Title

    Power quality harmonic detection based on Fast-ICA

  • Author

    Xixi, Ran ; Qun, Zhou

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Xihua Univ., Chengdu, China
  • Volume
    3
  • fYear
    2011
  • fDate
    8-9 Sept. 2011
  • Firstpage
    26
  • Lastpage
    29
  • Abstract
    The main methods of power quality´s harmonics detection are based on instantaneous reactive power theory, FFT and wavelet transform. A method of detecting power quality´s harmonics based on ICA is proposed. First, independent component analysis method is introduced briefly, then using the Fast - ICA algorithm and negative entropy great independence standards to implement the estimations of harmonics signal, obtain base wave signal and every harmonic signal. The simulation results show that this method can accurately detect every harmonic composition of the multiple harmonics and it is not sensitive to noise. So it is suitable to the detection of power quality´s harmonics.
  • Keywords
    fast Fourier transforms; independent component analysis; power supply quality; reactive power; wavelet transforms; FFT; fast-ICA; harmonic composition; harmonics signal; independent component analysis; instantaneous reactive power theory; negative entropy; power quality harmonic detection; wave signal; wavelet transform; Analytical models; Entropy; Harmonic analysis; Independent component analysis; Power quality; Power system harmonics; Fast-ICA; Independent Component Analysis; harmonic detection; negative entropy; power quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering and Automation Conference (PEAM), 2011 IEEE
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9691-4
  • Type

    conf

  • DOI
    10.1109/PEAM.2011.6135007
  • Filename
    6135007