• DocumentCode
    2692140
  • Title

    Robust tuning of modern power system stabilizers using Bacterial Foraging Algorithm

  • Author

    Sumanbabu, B. ; Mishra, S. ; Panigrahi, B.K. ; Venayagamoorthy, G.K.

  • Author_Institution
    Indian Inst. of Technol., New Delhi
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    2317
  • Lastpage
    2324
  • Abstract
    IEEE Std 421.5, revised by the IEEE excitation system subcommittee introduced a new type of power system stabilizer model, the multiband power system stabilizers (IEEE PSS4B). Although it requires two input signals, like the widely used IEEE PSS2B, the underlying principle of the new IEEE PSS4B makes it sharply different. This paper presents a method based on Bacterial Foraging Algorithm (BFA) to simultaneously tune these modern power system stabilizers (PSSs) in multimachine power system. Simulation results of multi-machine power system validate the efficiency of this approach. The proposed method is effective for the tuning of multi-controllers in large power systems.
  • Keywords
    power system stability; robust control; IEEE PSS2B; IEEE PSS4B; bacterial foraging algorithm; modern power system stabilizers; multimachine power system; robust tuning; Frequency; Microorganisms; Power system dynamics; Power system interconnection; Power system modeling; Power system simulation; Power system stability; Power systems; Robustness; Tuning; Bacterial Foraging Algorithm (BFA); IEEE PSS2B; IEEE PSS4B; IEEE Std 421.5; inert-area oscillations; power system stability; power system stabilizer (PSS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1339-3
  • Electronic_ISBN
    978-1-4244-1340-9
  • Type

    conf

  • DOI
    10.1109/CEC.2007.4424760
  • Filename
    4424760