• DocumentCode
    658078
  • Title

    Multi objective genetic algorithm controller´s tuning for non-linear automatic voltage regulator

  • Author

    Khedr, Shaimaa F. Mohamed ; Ammar, Mohammed E. ; Hassan, M. A. Moustafa

  • Author_Institution
    Electr. Power & Machines Eng. Dept., Cairo Univ., Giza, Egypt
  • fYear
    2013
  • fDate
    6-8 May 2013
  • Firstpage
    857
  • Lastpage
    863
  • Abstract
    The voltage regulator is the intelligence of the system and controls the output of the exciter so that the generated voltage and reactive power change in the desired way. In most modern systems the automatic voltage regulator (AVR) is a controller that senses the generator output voltage (and sometimes the current) then initiates corrective action by changing the exciter control in the desired direction. The speed of the automatic voltage regulator is of great interest in studying stability. Because of the high inductance in the generator field winding, it is difficult to make rapid changes in field current. This introduces a considerable lag in the control function and is one of the major obstacles to be overcome in designing a regulating system.
  • Keywords
    electric generators; fuzzy control; genetic algorithms; inductance; machine windings; reactive power control; stability; tuning; voltage regulators; AVR; generator field winding; inductance; multiobjective genetic algorithm controller tuning; nonlinear automatic voltage regulator; reactive power; Fuzzy logic; Genetic algorithms; Mathematical model; Power systems; Regulators; Voltage control; ANFIS; AVR; FuzzyLogic; Genetic Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Decision and Information Technologies (CoDIT), 2013 International Conference on
  • Conference_Location
    Hammamet
  • Print_ISBN
    978-1-4673-5547-6
  • Type

    conf

  • DOI
    10.1109/CoDIT.2013.6689655
  • Filename
    6689655