• DocumentCode
    3592407
  • Title

    Validity analysis of prony algorithm on faulty feeder selection in distribution grids

  • Author

    Zhang, Xinhui ; Xu, Bingyin ; Zhang, Kun

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Shandong Univ. of Technol., Zibo, China
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    When a single-phase earthed fault occurred in distribution grids, power system variables during transient process are composed of damped DC components and damped AC components (fundamental wave and harmonics). Prony algorithm can directly estimate the magnitude, phase, frequency and damping factor of all modes which damp exponentially. Such algorithm is more suitable to the character of power system transient variables and can produce high-accuracy fitting by least-square means. A simulation model of non-effectively earthed distribution grid is established and vast simulations under diverse fault conditions have been done. Prony fitting of ATP simulation data of single-phase earthed fault and the field fault data are analyzed by using Prony algorithm respectively, which all proved that the validity of Prony algorithm on faulty feeder selection in distribution grids.
  • Keywords
    least squares approximations; power distribution faults; power grids; power system transients; ATP simulation data; damped AC components; damped DC components; faulty feeder selection; least square mean; noneffective earthed distribution grid; power system transient variables; prony algorithm; transient process; validity analysis; Damping; Fitting; Frequency estimation; Substations; Time frequency analysis; Transient analysis; ATP simulation; Prony algorithm; Prony fitting; dominate transient frequency(DTF); faulty feeder selection; single-phase earthed fault;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution (CICED), 2010 China International Conference on
  • Print_ISBN
    978-1-4577-0066-8
  • Type

    conf

  • Filename
    5736148