• DocumentCode
    1629818
  • Title

    Power system stabilization using brain emotional learning based intelligent controller

  • Author

    Bijami, Ehsan ; Jadidoleslam, Morteza ; Ebrahimi, Akbar ; Farsangi, Malihe M. ; Lee, Kwang Y.

  • Author_Institution
    Dept. of Electr. & Comput., Isfahan Univ. of Technol. (IUT), Isfahan, Iran
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper two Brain Emotional Learning Based Intelligent Controllers (BELBIC) are used as two coordinated power system stabilizers (PSSs) for damping the power system inter-area oscillations. The BELBIC is a new type of intelligent controller based on emotion processing mechanism in the brain. To illustrate the capability of the proposed approach, the numerical results are presented on a 2-area 4-machine system. To show the effectiveness of the designed controllers different faults are plied. The simulation studies show that the designed controllers have good capability in damping the power system low frequency oscillations.
  • Keywords
    control system synthesis; damping; intelligent control; learning (artificial intelligence); oscillations; power system stability; 2-area 4-machine system; BELBIC; brain emotional learning; emotion processing mechanism; intelligent controller; power system interarea oscillation; power system low frequency oscillation; power system stabilization; Computational modeling; Damping; Generators; Learning systems; Oscillators; Power system stability; Brain emotional learning based intelligent controller (BELBIC); Low-frequency oscillations; power system stabilization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2011 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4577-1000-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2011.6039545
  • Filename
    6039545