• DocumentCode
    1813731
  • Title

    On the calculation of the feasibility boundary for differential-algebraic systems

  • Author

    Özcan, I.A. ; Schättler, H.

  • Author_Institution
    Dept. of Syst. Sci. & Math., Washington Univ., St. Louis, MO, USA
  • Volume
    3
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    2580
  • Abstract
    Our research is motivated by models for electric power systems. In this case typical dynamic state variables are the states of generator models (generator voltages, angles etc.) including exciter states. The instantaneous variables are usually connected with the network structure and typically include bus voltages and other load flow variables. The parameter space is composed into system parameters which are related to system topography, equipment constants, etc., and operating parameters such as voltage set-points, loads, mechanical torque, exciter gains. The dynamics of the generators, control devices and generally the load dynamics together define the dynamic equations while the algebraic constraint typically consists of the power balance equations of the network. We present an algorithm to calculate limits of parametric stability for a stable equilibrium
  • Keywords
    nonlinear control systems; power system dynamic stability; algebraic constraint; bus voltages; differential-algebraic systems; dynamic equations; dynamic state variables; electric power systems; exciter states; feasibility boundary; generator models; generator voltages; instantaneous variables; load dynamics; load flow variables; mechanical torque; network structure; ordinary differential equation; parameter space; parametric stability; power balance equations; quasi-stationarity assumptions; singular perturbation approach; stable equilibrium; voltage set-points; Equations; Load flow; Mechanical variables control; Power generation; Power system dynamics; Power system modeling; Stability; Surfaces; Torque; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
  • Conference_Location
    Phoenix, AZ
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-5250-5
  • Type

    conf

  • DOI
    10.1109/CDC.1999.831317
  • Filename
    831317