• DocumentCode
    1777316
  • Title

    Research on the responsibility partition of harmonic pollution and harmonic impedance based on the total least-squares regression method

  • Author

    Qi Fei ; Li Jian-Wen ; Li Yong-Gang ; Sun Wei ; Li Zhong-Liang

  • Author_Institution
    North China Electr. Power Univ., Baoding, China
  • fYear
    2014
  • fDate
    20-22 Oct. 2014
  • Firstpage
    2122
  • Lastpage
    2127
  • Abstract
    This paper introduces a method for the responsibility partition of harmonic pollution of harmonic source, which is based on the total least-squares regression. Through the NORTON circuit transformation to construct harmonic impedance of binary linear regression equation in the system side and customer side. Utilizing the signals of harmonic current and harmonic voltage measured at PCC(Point of Common Coupling), the system side and customer side harmonic impedance are worked out through the total least-squares regression, then the harmonic power of system side and customer side are calculate. The simulation analysis indicate that the proposed method is valid and feasible.
  • Keywords
    least mean squares methods; power system harmonics; regression analysis; NORTON circuit transformation; PCC; binary linear regression equation; customer side harmonic impedance; harmonic impedance; harmonic pollution; point of common coupling; system side harmonic impedance; total least-squares regression method; Harmonic analysis; Impedance; Integrated circuit modeling; Load modeling; Power system harmonics; Voltage measurement; binary linear regression; harmonic impedance; harmonic power; power quality; the responsibility partition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology (POWERCON), 2014 International Conference on
  • Conference_Location
    Chengdu
  • Type

    conf

  • DOI
    10.1109/POWERCON.2014.6993568
  • Filename
    6993568