• DocumentCode
    2988704
  • Title

    Model-Free H-Infinity Load-Frequency Controller Design for Power Systems

  • Author

    Al-Tamimi, Asma ; Lewis, Frank L. ; Wang, Y.

  • Author_Institution
    Univ. of Texas at Arlington, Fort Worth
  • fYear
    2007
  • fDate
    1-3 Oct. 2007
  • Firstpage
    118
  • Lastpage
    125
  • Abstract
    In this paper, an H-infinity load-frequency controller for a power system generator will be designed without the knowledge of the system model. Uncertainty in the system model is a common problem in power systems. In this paper the strategies for discrete-time linear system quadratic zero-sum games related to the H-infinity optimal control problem are solved forward in time without knowing the system dynamical model. The idea is to solve for an action dependent value function Q(x,u,w) of the zero-sum game instead of solving for the state dependent value function V(x) which satisfies a corresponding game algebraic Riccati equation (GARE). The result is model-free approach that solves the zero-sum game forward in time; i.e. it finds an H-infinity controller without knowing the dynamical system. It is proven that the algorithm is equivalent to a model-free iterative algorithm to solve the underlying (GARE) of the linear quadratic discrete-time zero-sum game.
  • Keywords
    Hinfin control; Riccati equations; control system synthesis; discrete time systems; frequency control; game theory; linear systems; load regulation; power system control; discrete-time linear system quadratic zero-sum games; game algebraic Riccati equation; model-free H-Infinity load-frequency controller; optimal control; power system generator; H infinity control; Iterative algorithms; Linear systems; Load modeling; Power generation; Power system control; Power system dynamics; Power system modeling; Riccati equations; Uncertainty; Adaptive control; Adaptive critics; Approximate dynamic programming; H¿ optimal control; Policy iterations; Q-function; Q-learning; Zero-sum games;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, 2007. ISIC 2007. IEEE 22nd International Symposium on
  • Conference_Location
    Singapore
  • ISSN
    2158-9860
  • Print_ISBN
    978-1-4244-0440-7
  • Electronic_ISBN
    2158-9860
  • Type

    conf

  • DOI
    10.1109/ISIC.2007.4450871
  • Filename
    4450871