• DocumentCode
    1682908
  • Title

    Statistical analysis of digital distance protection

  • Author

    Loman, T. ; Sauhatas, A. ; Voinovska, A.

  • Author_Institution
    Power Syst. Inst., Riga Tech. Univ., Latvia
  • fYear
    1999
  • Firstpage
    176
  • Abstract
    Problems of selection of efficiency algorithms of distance protection for a different type high voltage transmission lines are very topical. In this paper criteria and a program for statistical analysis of distance protection are considered. This program is based on the Monte Carlo method. The method is used for obtaining of statistical estimation of distance protection efficiency and graphical presentation of statistical estimations in operating characteristics for different modes in modern computers. Examples of statistical simulation of distance relay operation for phase-to-ground faults are shown. The proposed method helps users to select efficiency parameters and algorithms of distance protection. It may be used both in the stage of the distance protection synthesis, and of development to make a reasonable decision in selection of protection settings, co-ordination of primary and reserve protection characteristics.
  • Keywords
    Monte Carlo methods; power transmission lines; power transmission protection; relay protection; statistical analysis; Monte Carlo method; digital distance protection; distance protection efficiency; distance protection synthesis; distance relay operation; efficiency parameters selection; graphical presentation; high voltage transmission lines; phase-to-ground faults; reserve protection characteristics; statistical analysis; statistical estimation; Algorithm design and analysis; Condition monitoring; Current measurement; Displays; Measurement units; Phase estimation; Power system protection; Protective relaying; Statistical analysis; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Power Engineering, 1999. PowerTech Budapest 99. International Conference on
  • Conference_Location
    Budapest, Hungary
  • Print_ISBN
    0-7803-5836-8
  • Type

    conf

  • DOI
    10.1109/PTC.1999.826608
  • Filename
    826608