• DocumentCode
    2771393
  • Title

    An Interval Type-II Robust Fuzzy Logic Controller for a Static Compensator in a Multimachine Power System

  • Author

    Mohagheghi, Salman ; Venayagamoorthy, Ganesh K. ; Harley, Ronald G.

  • Author_Institution
    Georgia Inst. of Technol., Atlanta
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    2241
  • Lastpage
    2248
  • Abstract
    This paper presents a novel fuzzy logic based controller for a Static Compensator (STATCOM) connected to a power system. Type-II fuzzy systems are selected that enable the controller to deal with design uncertainties and the noise associated with the measurements in the power system. Interval type-II fuzzy is computationally more effective than the ordinary type-II fuzzy systems and is more suitable for the power network with fast changing dynamics. Using a proportional-integrator approach the proposed controller is capable of dealing with actual rather than deviation signals. The STATCOM is connected to a multimachine power system in order to provide extra voltage support and improve the system dynamic performance. Simulation results are provided to show that the proposed controller outperforms a conventional PI controller during large scale faults as well as small disturbances. The type-II fuzzy membership functions provide a robust performance for the controller and eliminate the need for a model based adaptive control scheme.
  • Keywords
    PI control; adaptive control; compensation; fuzzy control; PI controller; adaptive control scheme; interval type-II robust fuzzy logic controller; multimachine power system; static compensator; voltage support; Automatic voltage control; Control systems; Fuzzy logic; Fuzzy systems; Power system dynamics; Power system measurements; Power system simulation; Power systems; Robust control; STATCOM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2006. IJCNN '06. International Joint Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9490-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2006.247020
  • Filename
    1716390