• DocumentCode
    1088274
  • Title

    Stochastic analysis in the time domain of very high speed digital distance relays. II. Illustrations

  • Author

    De Sá, J. L Pinto

  • Author_Institution
    Dept. de Engenharia Electrotecnica e de Comput., Inst. Superior Tecnico, Lisbon, Portugal
  • Volume
    141
  • Issue
    3
  • fYear
    1994
  • fDate
    5/1/1994 12:00:00 AM
  • Firstpage
    169
  • Lastpage
    176
  • Abstract
    For pt.I see ibid., vol.141, no.3, p.161-8 (1994). In part I of the paper, a time-domain approach to the stochastic analysis of very high speed digital distance relays was introduced. The analysis was founded on state-space modelling and on time-domain filtering theory. In part II, the theoretical framework of part 1 is applied to the evaluation of impedance algorithms based on phasors estimated through discrete Fourier transforms and Kalman filters. This is done for a set of different sampling rates, prefilters and operating schemes. A power system is introduced for which variable configurations are used to simulate 80 case line faults for each fault type, with the electromagnetic transients program. The analysis of the algorithms is performed upon the sample variances of the fault-induced transients, yielding basic results about their performance. Next, the effect of other signal distortions is investigated, and further results are obtained.<>
  • Keywords
    Fourier transforms; Kalman filters; electrical faults; power engineering computing; power system protection; relay protection; stochastic processes; time-domain analysis; Kalman filters; discrete Fourier transforms; electromagnetic transients program; fault-induced transients; impedance algorithms; line faults; operating schemes; phasors; power system; prefilters; sampling rates; signal distortions; state-space modelling; stochastic analysis; time-domain filtering theory; very high speed digital distance relays;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings
  • Publisher
    iet
  • ISSN
    1350-2360
  • Type

    jour

  • DOI
    10.1049/ip-gtd:19949762
  • Filename
    285771