• DocumentCode
    2622933
  • Title

    Integration design of fuzzy system using genetic algorithm for improvement of voltage profile with Static VAR compensator

  • Author

    Saeidpour, E. ; Abedi, M. ; Parizy, V.S.

  • Author_Institution
    Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran
  • fYear
    2008
  • fDate
    22-24 May 2008
  • Firstpage
    235
  • Lastpage
    240
  • Abstract
    This paper proposed control of static VAR compensator (SVC) for improvement of voltage profile with fuzzy controller that tuned with genetic algorithm. Our method integrated two design stages; determinations of membership function and rules consequent parameters, because these stages may not be independent, it´s important to consider them simultaneously to obtain optimal fuzzy systems. We present new method for insert genetic algorithm into fuzzy controller designation for non-linear and variable system. System equation is non-linear and not-clear and we can´t use usual method for designation. We used from MATLAB simulator, for our simulations.
  • Keywords
    fuzzy control; genetic algorithms; nonlinear control systems; power system control; static VAr compensators; voltage control; MATLAB simulator; fuzzy controller; fuzzy system; genetic algorithm; membership function; nonlinear system; static VAR compensator; variable system; voltage profile; Algorithm design and analysis; Control systems; Design methodology; Fuzzy control; Fuzzy systems; Genetic algorithms; Nonlinear control systems; Nonlinear equations; Static VAr compensators; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Optimization of Electrical and Electronic Equipment, 2008. OPTIM 2008. 11th International Conference on
  • Conference_Location
    Brasov
  • Print_ISBN
    978-1-4244-1544-1
  • Electronic_ISBN
    978-1-4244-1545-8
  • Type

    conf

  • DOI
    10.1109/OPTIM.2008.4602372
  • Filename
    4602372