• DocumentCode
    2670320
  • Title

    An interval type-2 fuzzy logic PSS with the optimal H tracking control for multi-machine power system

  • Author

    Ben Meziane, Khaddouj ; Boumhidi, Ismail

  • Author_Institution
    Dept. of Phys., Univ. Sidi Mohammed Ben Abdellah, Fez, Morocco
  • fYear
    2015
  • fDate
    25-26 March 2015
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The aim of this paper is to design a nonlinear robust controller for a multi-machine power system. The optimal H tracking control combined with the interval type-2 fuzzy logic control as a power system stabilizer is proposed in this study. The type-2 fuzzy logic based on interval value sets is capable for modeling the uncertainty and imprecision and to overcome the drawbacks of the conventional PSS. The optimal H tracking control guarantees the convergence of the errors to the neighborhood of zero. The objective of the proposed method is to enhance the stability and the dynamic response of the multi-machine power system in different operating conditions. In order to test the effectiveness of the proposed method, the simulation results show the damping of the oscillations of the angle and angular speed with reduced overshoots and quick settling time.
  • Keywords
    H control; control system synthesis; damping; dynamic response; electric machines; fuzzy control; nonlinear control systems; power system control; power system stability; robust control; angle oscillation damping; dynamic response; interval type-2 fuzzy logic PSS; multimachine power system stability enhancement; nonlinear robust controller; optimal H∞ tracking control; overshoot reduction; power system stabilizer; Fuzzy logic; Fuzzy sets; Oscillators; Power system dynamics; Power system stability; Robustness; Uncertainty; H tracking control; Interval type-2 fuzzy logic; multi-machine power syste; power System Stabilizer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Computer Vision (ISCV), 2015
  • Conference_Location
    Fez
  • Print_ISBN
    978-1-4799-7510-5
  • Type

    conf

  • DOI
    10.1109/ISACV.2015.7106188
  • Filename
    7106188