• DocumentCode
    155874
  • Title

    AGC of an interconnected multi-area hydrothermal system using a neuro-fuzzy controller

  • Author

    Saikia, Lalit Chandra ; Paul, A. ; Dash, Puja ; Dev Choudhury, Nalin B.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Inst. of Technol. Silchar, Silchar, India
  • fYear
    2014
  • fDate
    Jan. 31 2014-Feb. 2 2014
  • Firstpage
    407
  • Lastpage
    411
  • Abstract
    This paper deals with automatic generation control of an multi-area hydro-thermal system. The performances of some commonly used classical controllers are examined and dynamic performances are compared to obtain the best. A three input neuro-fuzzy controller is proposed for the first time in the system. Investigations reveal that the three input neuro-fuzzy controller provides better performance than two inputs Controller. The performance of the three input neuro-fuzzy controller has been compared with that of the best commonly used classical controller, which reveals that the neuro-fuzzy controller is better. The robustness of the three input neuro-fuzzy controller has been tested for different loading. Comparison of the dynamic responses of neuro-fuzzy controller and the best classical controller at different loading conditions also reveal the superiority of the proposed neuro-fuzzy controller.
  • Keywords
    fuzzy control; hydrothermal power systems; neurocontrollers; power generation control; AGC; automatic generation control; interconnected multiarea hydrothermal system; neuro-fuzzy controller; Automatic generation control; Fuzzy logic; Loading; Noise measurement; Power system stability; automatic generation control; classical controllers; neuro-fuzzycontroller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Instrumentation, Energy and Communication (CIEC), 2014 International Conference on
  • Conference_Location
    Calcutta
  • Type

    conf

  • DOI
    10.1109/CIEC.2014.6959120
  • Filename
    6959120