• DocumentCode
    1461353
  • Title

    Algorithms for locating faults on series compensated lines using neural network and deterministic methods

  • Author

    Novosel, Damir ; Bachmann, Bernhard ; Hart, David ; Hu, Yi ; Saha, Murari Mohan

  • Author_Institution
    ABB-TTI, USA
  • Volume
    11
  • Issue
    4
  • fYear
    1996
  • fDate
    10/1/1996 12:00:00 AM
  • Firstpage
    1728
  • Lastpage
    1736
  • Abstract
    This paper investigates a scheme to improve the reach measurement of distance relays and fault locators for series compensated power lines. A deterministic method and a feedforward neural network method have been implemented for online calculation of the voltage across a nonlinear capacitor installation. These techniques are compared and incorporated into a new relaying scheme which is independent of the series capacitor installation, operation of the capacitor protection, and the surrounding power system elements. The proposed scheme is simple and accurate and requires only local voltage and current at the bus. Detailed testing using EMTP has been done to show the benefits of the new adaptive scheme. The results demonstrate the suitability of the techniques for real world applications
  • Keywords
    deterministic algorithms; fault location; feedforward neural nets; power system analysis computing; power system protection; power system relaying; power transmission lines; relay protection; software packages; EMTP; capacitor protection; computer simulation; deterministic methods; distance relays; fault location algorithms; fault locators; neural network; nonlinear capacitor installation; power system; reach measurement; series compensated power lines; Capacitors; EMTP; Feedforward neural networks; Neural networks; Power measurement; Power system protection; Power system relaying; Protective relaying; Testing; Voltage;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/61.544250
  • Filename
    544250