• DocumentCode
    776193
  • Title

    Self-tuning of Kalman filters for harmonic computation

  • Author

    Macías, José A Rosendo ; Expósito, Antonio Gómez

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Sevilla, Spain
  • Volume
    21
  • Issue
    1
  • fYear
    2006
  • Firstpage
    501
  • Lastpage
    503
  • Abstract
    This paper addresses the problem of tuning Kalman filters so that they can properly track harmonic fluctuations. A method for self-tuning of the model error covariance is presented and tested, showing fast adaptive capability under sudden changes of the input signal.
  • Keywords
    Kalman filters; power harmonic filters; tuning; error covariance; harmonic computation; harmonic fluctuation; tuning Kalman filters; Covariance matrix; Estimation error; Filtering; Kalman filters; Measurement errors; Power harmonic filters; Power system harmonics; Power system protection; State estimation; Tuning; Digital filters; Kalman filtering; harmonic analysis; power system harmonics; power system protection;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2005.860411
  • Filename
    1564238
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=776193