• DocumentCode
    2327573
  • Title

    Methods for identification of telemetering random errors variances in electric power systems

  • Author

    Gamm, A.Z. ; Grishin, Y.A. ; Glazunova, A.N. ; Kolosok, I.N.

  • Author_Institution
    Energy Syst. Inst., Acad. of Sci., Irkutsk, Russia
  • Volume
    2
  • fYear
    1998
  • fDate
    18-21 Aug 1998
  • Firstpage
    1255
  • Abstract
    The paper considers methods for the identification of random error variances in power system telemetry. This information is used in a software package for electric power system (EPS) state estimation in real-time. The technique of forming test equations and two algorithms of identifying variances, which are constructed using the calculation of imbalance correlations in a pair of test equations with a common telemetry, are described. By the results of study and the comparison of two offered algorithms, recommendations with respect to their application to adaptive algorithms for EPS state estimation under real operating conditions are given. Data on the realization of one of the suggested methods in a software package for state estimation and numerical results obtained by processing real telemetries in the Central Dispatching Board of the unified electric power system of Russia are presented
  • Keywords
    identification; measurement errors; power system measurement; power system state estimation; telemetry; Russia; adaptive algorithms; electric power systems telemetry; imbalance correlations; operating conditions; random errors variances identification; real-time state estimation; software package; test equations; Adaptive algorithm; Application software; Computer errors; Equations; Power systems; Real time systems; Software packages; State estimation; Telemetry; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-4754-4
  • Type

    conf

  • DOI
    10.1109/ICPST.1998.729287
  • Filename
    729287