• DocumentCode
    1017523
  • Title

    A method for the computation of fault transients in transmission lines

  • Author

    Al-Fuhaid, A.S. ; Saied, Mohamed Mostafa

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Kuwait Univ., Kuwait
  • Volume
    3
  • Issue
    1
  • fYear
    1988
  • fDate
    1/1/1988 12:00:00 AM
  • Firstpage
    288
  • Lastpage
    297
  • Abstract
    A method for the exact computation of long-line fault transients is presented. The use of a numerical inverse Laplace transform algorithm makes it possible to analyze faults on lines of any length, while the derivation of the equations in the s-domain makes it possible to represent such lines by a single two-port network for each one. For convenience, the approach is first illustrated for a single-phase representation, which is valid for symmetrical faults. Then a generalized approach for three-phase modeling is derived to simulate any type of fault. The advantages of this approach are its accuracy and simplicity as well as its inherent capability for giving the values of the different currents and voltage at different network locations at preselected time points. It is believed that one of the major applications of this method will be the testing of different digital protection algorithms and strategies
  • Keywords
    Laplace transforms; power transmission lines; transients; digital protection algorithms; fault transients; long-line fault transients; numerical inverse Laplace transform algorithm; symmetrical faults; testing; three-phase modeling; transmission lines; two-port network; Algorithm design and analysis; Conductors; Frequency; Laplace equations; Performance analysis; Power system transients; Protection; Steady-state; Testing; Transient analysis; Transmission line matrix methods; Transmission lines; Voltage; Wires;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/61.4256
  • Filename
    4256