• DocumentCode
    548043
  • Title

    Load frequency control of interconnected power system using brain emotional learning based intelligent controller

  • Author

    Bijami, Ehsan ; Abshari, R. ; Saghaiannejad, S.M. ; Askari, Javad

  • Author_Institution
    Dept. of Electr. & Comput., Isfahan Univ. of Technol., Isfahan, Iran
  • fYear
    2011
  • fDate
    17-19 May 2011
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    In this paper the brain emotional learning based intelligent controller (BELBIC) is used for solution the load frequency control (LFC) problem. The BELBIC is a new type of intelligent controller based on emotion processing mechanism in the brain. The frequency deviation of the system is directly utilized to tune the controller parameters. To illustrate the capability of the proposed approach, the numerical results are presented on a two-area interconnected power system. The obtained results of the proposed method compare to those by conventional PI controller show its robustness with a satisfactory response in the presence of system parameters variations.
  • Keywords
    brain; control engineering computing; frequency control; intelligent control; learning (artificial intelligence); load regulation; power engineering computing; power system control; power system interconnection; BELBIC; LFC problem; PI controller; brain emotional learning based intelligent controller; controller parameter; emotion processing mechanism; frequency deviation; interconnected power system; load frequency control problem; system parameter variation; Brain Emotional Learning Based Intelligent Controller (BELBIC); Load frequency control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2011 19th Iranian Conference on
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4577-0730-8
  • Type

    conf

  • Filename
    5955933