• DocumentCode
    2335855
  • Title

    Modeling micro-turbines on the distribution system using identification algorithms

  • Author

    Cano, Antonio ; Jurado, Francisco

  • Author_Institution
    Dept. of Electr. Eng., Jaen Univ., Linares, Spain
  • Volume
    2
  • fYear
    2003
  • fDate
    16-19 Sept. 2003
  • Firstpage
    717
  • Abstract
    To determine the potential impacts of micro-turbines on future distribution system, dynamic models of micro-turbines should be created, reduced in order, and scattered throughout test feeders. This paper presents the implementation of an efficient method for computing low order linear system models of micro-turbines from time domain simulations. The method is the Box-Jenkins algorithm for calculating the transfer function of a linear system from samples of its input and output.
  • Keywords
    autoregressive processes; distribution networks; linear systems; time-domain analysis; transfer functions; turbines; Box-Jenkins algorithm; distribution system; identification algorithms; low order linear system; microturbines; test feeders; time domain simulations; transfer function; Control systems; Fuels; Linear systems; Mathematical model; Power system analysis computing; Power system dynamics; Power system modeling; Power system simulation; Time measurement; Turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies and Factory Automation, 2003. Proceedings. ETFA '03. IEEE Conference
  • Print_ISBN
    0-7803-7937-3
  • Type

    conf

  • DOI
    10.1109/ETFA.2003.1248769
  • Filename
    1248769