• DocumentCode
    2678665
  • Title

    Equilibrium optimization (EOPT) with a nonlinear interior point method

  • Author

    Song, Hwachang

  • Author_Institution
    Sch. of Inf. Eng., Kunsan Nat. Univ.
  • fYear
    0
  • fDate
    0-0 0
  • Abstract
    This paper presents a methodology to calculate an optimal solution of equilibrium to differential algebraic equations for power system. It applies a nonlinear interior point method to solve the optimization formulation, which includes dynamic equations representing two-axis synchronous generator models with AVR and speed governing control, algebraic equations, and steady-state nonlinear loads. The solution process employs a decoupled block factorization. This makes it possible to preserve the structure in conventional Newton-type optimal power flow. Equilibrium optimization (EOPT) tool is useful for diverse purposes in power system analysis and control. In case study, an example is given applying EOPT to 6-bus test system
  • Keywords
    angular velocity control; differential algebraic equations; load flow; optimisation; power system control; synchronous generators; 6-bus test system; Newton-type optimal power flow; decoupled block factorization; differential algebraic equations; dynamic equations; equilibrium optimization; nonlinear interior point method; power system analysis; power system control; steady-state nonlinear loads; two-axis synchronous generator models; Differential algebraic equations; Load flow; Nonlinear dynamical systems; Nonlinear equations; Optimization methods; Power system analysis computing; Power system dynamics; Power system modeling; Steady-state; Synchronous generators; DAE model; block factorization; equilibrium optimization; nonlinear interior point method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2006. IEEE
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0493-2
  • Type

    conf

  • DOI
    10.1109/PES.2006.1709265
  • Filename
    1709265