• DocumentCode
    323342
  • Title

    Application of fuzzy logic control in power system stabilisation

  • Author

    Naghdy, Fazel ; Koo, James

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wollongong Univ., NSW, Australia
  • Volume
    1
  • fYear
    1997
  • fDate
    28-31 Oct 1997
  • Firstpage
    252
  • Abstract
    The stabilisation of a power system has proved a challenging and difficult task. The nonlinearity of these systems has been the main source of the problem. The complex nonlinearised mathematical models of power systems should be linearly approximated before modern control theories can be applied to them. The linearised models are acceptable as long as the external disturbance to the system is small. In practice, however, the large variation in the external disturbances produces large errors which cannot be ignored. In this paper, fuzzy logic control (FLC) is applied to this problem. In order to illustrate the complexity of the modelling of the stabiliser, conventional methods used for defining its behaviour are described. The FLC designed for this problem is presented, and its performance, as compared to the conventional controller, is reported
  • Keywords
    control nonlinearities; electrical faults; fuzzy control; linearisation techniques; power system control; power system stability; complex nonlinearised mathematical models; control theories; errors; external disturbances; fuzzy logic control; linear approximation; linearised models; nonlinear systems; performance; power system stabilisation; stabiliser; Control systems; Damping; Equations; Fuzzy logic; Mathematical model; Power system control; Power system modeling; Power system transients; Power systems; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-4253-4
  • Type

    conf

  • DOI
    10.1109/ICIPS.1997.672776
  • Filename
    672776