• DocumentCode
    723649
  • Title

    Reliability of approximation function method for modelling of power lines in electric power systems

  • Author

    Nohac, Karel ; Sit´ar, Vladislav

  • Author_Institution
    Dept. of Electr. Power Eng. & Environ. Eng., Univ. of West Bohemia, Pilsen, Czech Republic
  • fYear
    2015
  • fDate
    20-22 May 2015
  • Firstpage
    141
  • Lastpage
    146
  • Abstract
    This article deals with the calculation of capacitances for double-circuit power lines by the approximation function (AF) method and the reliability of this approach when used in transient state simulations in electric power systems. Standard procedure for computing the capacitances to earth and phase-to-phase capacitances is described along with its implementation into mathematical models of power lines within available simulation softwares. Next, the principle of alternative AF method is introduced and proposed for such simulation tools, which exclude the use of the standard approach. For AF method, its accuracy is determined along with possibilities for its simplification and reliability.
  • Keywords
    approximation theory; power cables; power system reliability; power system simulation; AF method; approximation function method; double-circuit power lines modelling; earth capacitance computation; electric power systems; mathematical models; phase-to-phase capacitance computation; simulation softwares; simulation tools; transient state simulations; Approximation methods; Capacitance; Conductors; Earth; Mathematical model; Matrices; Poles and towers; approximation function (AF) method; capacitance calculation; inversion matrix; maximum relative error; potential coefficients; reflection method; reliability of AF method; simulation software DYNAST;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Power Engineering (EPE), 2015 16th International Scientific Conference on
  • Conference_Location
    Kouty nad Desnou
  • Type

    conf

  • DOI
    10.1109/EPE.2015.7161172
  • Filename
    7161172