• DocumentCode
    2220691
  • Title

    Experimental approach to optimal setting of parameters in fuzzy control algorithm for power system stabilization

  • Author

    Matsuki, Junya ; Okada, Takao ; Sakurai, Koji

  • Author_Institution
    Dept. of Electr. Eng., Kyoto Univ., Japan
  • fYear
    1993
  • fDate
    15-19 Nov 1993
  • Firstpage
    273
  • Abstract
    This paper describes the experimental results of an application of a fuzzy control algorithm to stabilization of electric power systems. A fuzzy control algorithm, which is designed to produce a supplementary stabilizing signal to a digital AVR (automatic voltage regulator) of a generator to increase the damping of system oscillations, has been implemented on a microprocessor, and tested on both one-machine and two-machine connected to infinite-bus systems installed in the authors´ laboratory. The dynamic behaviors of the fuzzy controller has been compared with the conventional power system stabilizer
  • Keywords
    digital control; fuzzy control; power system control; power system stability; damping; digital automatic voltage regulator; electric power systems; fuzzy control algorithm; infinite-bus systems; optimal parameters setting; power system stabilization; supplementary stabilizing signal; system oscillations; Algorithm design and analysis; Automatic testing; Damping; Fuzzy control; Fuzzy sets; Microprocessors; Power system dynamics; Regulators; Signal design; Signal generators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on
  • Conference_Location
    Maui, HI
  • Print_ISBN
    0-7803-0891-3
  • Type

    conf

  • DOI
    10.1109/IECON.1993.339068
  • Filename
    339068