• DocumentCode
    586757
  • Title

    Improved extended complex Kalman filter for identifying inter-area oscillations

  • Author

    Chang, Ronald ; Saha, Tapan K.

  • Author_Institution
    Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD, Australia
  • fYear
    2012
  • fDate
    Oct. 30 2012-Nov. 2 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper aims to improve the extended complex Kalman filter (ECKF) for tracking inter-area oscillations from power system response signals. A robustness function is incorporated into the ECKF algorithm, to improve tracking performance on signals with outliers. The improved ECKF identifier (IECKF) is demonstrated on response signals from the simplified 59 bus South East Australian test system. The IECKF performance is evaluated through tracking three inter-area modes of oscillation simultaneously. Results demonstrate that the IECKF identifier offers improved tracking based on noisy ringdown signals with outliers.
  • Keywords
    Kalman filters; oscillations; power system stability; 59 bus South East Australian test system; ECKF algorithm; ECKF identifier; IECKF; extended complex Kalman filter; inter-area oscillations tracking; interarea oscillations; noisy ringdown signals; oscillation modes; power system response signals; tracking performance; Damping; Estimation; Frequency estimation; Mathematical model; Noise measurement; Oscillators; Robustness; extended complex Kalman filter; inter-area oscillation identification; power system identification; robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology (POWERCON), 2012 IEEE International Conference on
  • Conference_Location
    Auckland
  • Print_ISBN
    978-1-4673-2868-5
  • Type

    conf

  • DOI
    10.1109/PowerCon.2012.6401278
  • Filename
    6401278