• DocumentCode
    772782
  • Title

    A new Kalman filter approach to digital relaying

  • Author

    De Sá, J. L Pinto

  • Author_Institution
    Seccao de Energia, Inst. Superior Tecnico, Lisboa, Portugal
  • Volume
    7
  • Issue
    3
  • fYear
    1992
  • fDate
    7/1/1992 12:00:00 AM
  • Firstpage
    1652
  • Lastpage
    1660
  • Abstract
    A novel Kalman filter approach to digital relaying is presented, in which the traditional application of simple, low-cost analog prefilters is assumed. The sampling rate is not directly coupled to the filter bandwidth; while this one was specified as low (150 Hz at maximum), the sampling period was determined by time resolution and processing cost requirements (1 kHz). To cope with the signal distortion resulting from the prefilters´ own transients, a novel observation model is developed for the Kalman filter, with very little extra processing. The coloring effect on the observation noise by prefiltering is modeled in the Kalman filter state space, assuming white input noise, but the simulation tests with a modal-based impedance estimator show that little improvement is achieved with that. Instead, the addition of a colored time-decaying sinusoid to observation white noise in the state space supports improved performances, especially for very noisy faults in long UHV transmission lines with weak sending buses. Time decisions between 1/3 and 1/2 cycle were achieved for faults at the ending bus and at mid-line, respectively
  • Keywords
    Kalman filters; digital simulation; electric impedance; power engineering computing; power system protection; relay protection; Kalman filter approach; Kalman filter state space; colored time-decaying sinusoid; digital relaying; ending bus; long UHV transmission lines; modal-based impedance estimator; noisy faults; observation model; power systems; prefiltering; signal distortion; simulation tests; transients; weak sending buses; white input noise; Bandwidth; Colored noise; Costs; Digital relays; Filters; Signal processing; Signal resolution; Signal sampling; State-space methods; White noise;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/61.141886
  • Filename
    141886