• DocumentCode
    3454750
  • Title

    A new power system stabilizer design by using Smart Bacteria Foraging Algorithm

  • Author

    Daryabeigi, Ehsan ; Moazzami, M. ; Khodabakhshian, A. ; Mazidi, M.H.

  • Author_Institution
    Dept. of Electr. Eng., Islamic Azad Univ., Isfahan, Iran
  • fYear
    2011
  • fDate
    8-11 May 2011
  • Abstract
    This paper presents a new method to design a Power System Stabilizer (PSS) using Smart Bacteria Foraging Algorithm (SBFA). The proposed algorithm can conduct bacteria at a smart direction to decrease the cost function better than conventional Bacteria Foraging (BFA) method. This algorithm not only considers social intelligence, but also emphasizes the individual intelligence of bacteria for finding a better nutrition path. This approach leads to have a higher convergence speed and also a better performance than BFA. Simulation results in Two-area four-machine power system show that SBFA improves the dynamic performance of the power system.
  • Keywords
    control system synthesis; optimisation; power system stability; cost function; four machine power system; power system stabilizer design; smart bacteria foraging algorithm; smart direction; social intelligence; Algorithm design and analysis; Cost function; Genetic algorithms; Microorganisms; Power system stability; Robustness; Tuning; Bacteria Foraging Algorithm (BFA); Power System Stabilizer (PSS); Smart Bacteria Foraging Algorithm (SBFA);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on
  • Conference_Location
    Niagara Falls, ON
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4244-9788-1
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2011.6030547
  • Filename
    6030547