• DocumentCode
    3178951
  • Title

    Nonlinear controllability of singularly perturbed models of power flow networks

  • Author

    Barany, Ernest ; Schaffer, Steve ; Wedeward, Kevin ; Ball, Steven

  • Author_Institution
    Dept. of Math. Sci., New Mexico State Univ., Las Cruces, NM, USA
  • Volume
    5
  • fYear
    2004
  • fDate
    14-17 Dec. 2004
  • Firstpage
    4826
  • Abstract
    A method based on differential geometric control theory is presented intended to provide insight into how the nodes of a power network can affect each other. In this preliminary report, we consider a simple model of a power system derived from singular perturbation of the power flow equations. It is shown that such a model is accessible, and that for simple chain topology the network is actually feedback linearizable. The result is illustrated numerically. This simple example is a precursor for more interesting models of networks.
  • Keywords
    differential geometry; feedback; nonlinear control systems; power system control; singularly perturbed systems; chain topology; differential geometric control theory; feedback linearizability; nonlinear controllability; power flow equations; power flow networks; power network nodes; singular perturbation; singularly perturbed models; Controllability; Equations; Load flow; Power grids; Power system analysis computing; Power system control; Power system dynamics; Power system interconnection; Power system modeling; Power system stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2004. CDC. 43rd IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-8682-5
  • Type

    conf

  • DOI
    10.1109/CDC.2004.1429555
  • Filename
    1429555