• DocumentCode
    2907522
  • Title

    Frequency Estimation of Distorted Power System Signals Using Robust Extended Complex Kalman Filter

  • Author

    Huang, Chien-Hung ; Lee, Chien-Hsing ; Shih, Kuang-Jung ; Wang, Yaw-Juen

  • Author_Institution
    Nat. Yunlin Univ. of Sci. & Technol., Yunlin
  • fYear
    2007
  • fDate
    5-8 Nov. 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper proposes to use robust extended complex Kalman filter (ECKF) for improving frequency estimation of distorted power system signals. Generally, abnormal data obtained from measurements may cause noises and disturbances as well as affect the accuracy of frequency estimation in a power system. Thus, the proposed method is employed to suppress the abnormalities from abnormal data of measurements for promoting the efficiency in frequency estimation. Results of frequency estimation for distorted signals using the proposed method are compared with the ECKF.
  • Keywords
    Kalman filters; distortion; frequency estimation; power system faults; power system parameter estimation; ECKF; abnormality suppression; extended complex Kalman filter; frequency estimation; power system disturbances; power system signal distortion; Distortion measurement; Frequency estimation; Frequency measurement; Nonlinear distortion; Pollution measurement; Power system dynamics; Power system measurements; Power system reliability; Power systems; Robustness; distorted signals; extended complex Kalman filter; frequency estimation; robust algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Applications to Power Systems, 2007. ISAP 2007. International Conference on
  • Conference_Location
    Toki Messe, Niigata
  • Print_ISBN
    978-986-01-2607-5
  • Electronic_ISBN
    978-986-01-2607-5
  • Type

    conf

  • DOI
    10.1109/ISAP.2007.4441663
  • Filename
    4441663