• DocumentCode
    164669
  • Title

    Harmonic parameter estimation of a power signal using FT-RLS algorithm

  • Author

    Singh, S.K. ; Goswami, Arup K. ; Sinha, N.

  • Author_Institution
    Electr. Eng. Dept., Nat. Inst. of Technol. Silchar, Silchar, India
  • fYear
    2014
  • fDate
    25-28 May 2014
  • Firstpage
    157
  • Lastpage
    161
  • Abstract
    Many algorithms have been proposed for harmonic estimation to improve the power quality performance, but till today it is still a challenge for accurate estimation. In this paper an adaptive filtering algorithm called Fast Transverse Recursive Least Square (FT-RLS) is applied for the first time for estimating harmonic parameters. The algorithm has been considered to estimate the amplitudes, phases and frequency in case of time varying power signals containing harmonics in the presence of White Gaussian Noise in MATLAB simulating environment. Also comparison results with two recently proposed algorithms such as Forgetting Factor Recursive Least Square (FF-RLS) and Recursive Least Square (RLS) are presented to show the effectiveness of the proposed FT-RLS algorithm.
  • Keywords
    AWGN; adaptive filters; amplitude estimation; frequency estimation; least mean squares methods; phase estimation; power supply quality; power system harmonics; recursive estimation; FT-RLS algorithm; adaptive filtering algorithm; amplitude estimation; fast transverse recursive least square; frequency estimation; phase estimation; power quality performance improvement; power signal harmonic parameter estimation; time varying power signals; white Gaussian noise; Estimation; Frequency estimation; Harmonic analysis; Noise; Power harmonic filters; Extended Least Mean Square (ELMS); Fast Transverse Recursive Least Square (FT-RLS); Forgetting Factor Recursive Least Square (FF-RLS); Least Mean Square (LMS); Recursive Least Square (RLS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Harmonics and Quality of Power (ICHQP), 2014 IEEE 16th International Conference on
  • Conference_Location
    Bucharest
  • Type

    conf

  • DOI
    10.1109/ICHQP.2014.6842872
  • Filename
    6842872