• DocumentCode
    1757896
  • Title

    Application of Recursive Least Squares Algorithm With Variable Forgetting Factor for Frequency Component Estimation in a Generic Input Signal

  • Author

    Beza, Mebtu ; Bongiorno, Massimo

  • Author_Institution
    Dept. of Energy & Environ., Chalmers Univ. of Technol., Gothenburg, Sweden
  • Volume
    50
  • Issue
    2
  • fYear
    2014
  • fDate
    March-April 2014
  • Firstpage
    1168
  • Lastpage
    1176
  • Abstract
    Signal estimation is important for protection, system study, and control purposes. This paper deals with the application of a modified recursive least squares algorithm, based on a variable forgetting factor, for estimation of frequency components in a generic input signal. Application areas such as synchronization and control in three- and single-phase systems for various grid conditions as well as estimation of harmonic and subsynchronous components will be discussed. Advantages of the proposed method over the available techniques in terms of estimation speed, frequency selectivity, and noise rejection capability will be described. Finally, simulation and experimental results will be used to evaluate the dynamic performance of the proposed method.
  • Keywords
    frequency estimation; least squares approximations; performance evaluation; phase control; power system control; power system harmonics; recursive estimation; synchronisation; frequency component estimation; generic input signal estimation; harmonic estimation; modified recursive least square algorithm; noise rejection capability; performance evaluation; power grid; single-phase system; speed estimation; subsynchronous component; three-phase system; variable forgetting factor; Bandwidth; Estimation; Frequency estimation; Harmonic analysis; Steady-state; Transient analysis; Vectors; Adaptive estimation; frequency estimation; least squares methods; phase estimation; phase-locked loops (PLLs); variable forgetting factor;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2013.2279195
  • Filename
    6584754