• DocumentCode
    3641441
  • Title

    Detection of arc in the transmission power lines

  • Author

    Paweł Kostyła

  • Author_Institution
    Department of Electrical Engineering, Wroclaw University of Technology, Wroclaw, Poland
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Automatic one-and three-phase re-closing power lines, after short circuit shutdown, is a very effective way to improve the reliability of power delivery. Re-closing while the fault is not cleared can be dangerous for some electrical appliances. To prevent re-closing of a short circuit a method allowing stable arc detection has developed. The method is based on the estimation of real-time parameters in voltage signals and an analysis of error estimation. A neural network has been proposed to solve the problem in real time.
  • Keywords
    "Artificial neural networks","Voltage measurement","Distortion measurement","Estimation","Power systems","Nonlinear distortion","Optimization"
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2011 10th International Conference on
  • Print_ISBN
    978-1-4244-8779-0
  • Type

    conf

  • DOI
    10.1109/EEEIC.2011.5874689
  • Filename
    5874689