• DocumentCode
    3399899
  • Title

    The Harmonic Assessment Method Based on the Generalized Ridge Regression

  • Author

    Yao Shu-jun ; Yan, Wang ; Wang Yan ; Liu Long-hui ; Ma Lu-yao

  • Author_Institution
    North China Electr. Power Univ., Beijing, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This article will use the generalized ridge regression in system harmonic impedance analysis and the harmonic evaluation. Based on the equivalent circuit of the system, users can obtain system harmonic impedance, the background harmonic and common connection point, the analytical expression of the harmonic. Using the harmonic voltage and current data which will be got in the common connection point, people can use system harmonic impedance and background harmonic as the regression coefficients of generalized ridge regression. Using direct method can obtain estimation parameters of the generalized ridge regression, and calculates the harmonic emission levels. The method can overcome the influence caused by the abnormal data to Regression coefficient, it is better than the partial least squares method and its ridge estimators have better robustness. The simulation results prove the effectiveness of this method and accuracy.
  • Keywords
    equivalent circuits; power system harmonics; regression analysis; background harmonic; common connection point; equivalent circuit; estimation parameters; generalized ridge regression; harmonic assessment method; harmonic emission levels; harmonic evaluation; harmonic voltage; partial least squares method; regression coefficients; ridge estimators; system harmonic impedance analysis; Equivalent circuits; Estimation; Harmonic analysis; Impedance; Least squares methods; Mean square error methods; Power system harmonics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307682
  • Filename
    6307682