• DocumentCode
    3418897
  • Title

    A GA-Fuzzy Automatic Generation Controller for interconnected power systems

  • Author

    Boesack, Craig D. ; Marwal, Tshilidzi ; Nelwamondo, Fulufhelo V.

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Univ. of the Witwatersrand, Johannesburg, South Africa
  • fYear
    2011
  • fDate
    19-21 Oct. 2011
  • Firstpage
    720
  • Lastpage
    724
  • Abstract
    This paper presents a GA-Fuzzy Automatic Generation Controller for large interconnected power systems. The design of Fuzzy Logic Controllers by means of expert knowledge have typically been the traditional design norm, however, this may not yield optimal performance. Therefore, genetic algorithms are used to design and optimize the fuzzy controller as applied to the Automatic Generation Control problem of large power systems.
  • Keywords
    control system synthesis; fuzzy control; genetic algorithms; power generation control; power system interconnection; GA-fuzzy automatic generation controller; design norm; fuzzy controller design; fuzzy controller optimization; fuzzy logic controllers; genetic algorithms; large interconnected power systems; Automatic generation control; Frequency control; Fuzzy logic; Genetic algorithms; Genetics; Power system stability; Robustness; Automatic generation control; genetic algorithms; interconnected power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-61284-374-2
  • Type

    conf

  • DOI
    10.1109/IWACI.2011.6160102
  • Filename
    6160102