• DocumentCode
    2113100
  • Title

    HPSO algorithm to design power system stabilizer in multi-machine power system

  • Author

    Gadari, H.

  • Author_Institution
    Anar Branch, Islamic Azad Univ., Anar, Iran
  • fYear
    2011
  • fDate
    May 30 2011-June 3 2011
  • Firstpage
    2434
  • Lastpage
    2437
  • Abstract
    In this article, a new evolutionary algorithm presented in order to optimally design stabilizers of multi-machine power system. This article utilizes Hybrid Particle Swarm Optimization (HPSO) technique to search for optimized amounts of power system stabilizer (PSS). The strength of presented method to create initial amounts was proved. Efficiency and capability of HPSOPSS was tested under different turbulences and loading modes for different multi-machine systems. Data analysis and results of nonlinear simulations, delineated the usefulness of HPSOPSS in damping local and in-area frequency modes; and this coordination has a remarkable effect on execution of loading modes and arrangement of power system. Totally, potential and priority of the presented method in proportion to other common methods was proved.
  • Keywords
    data analysis; evolutionary computation; particle swarm optimisation; power system stability; HPSO algorithm; PSS design; data analysis; evolutionary algorithm; hybrid particle swarm optimization algorithm; multimachine power system; nonlinear simulation; power system arrangement; power system stabilizer design; Algorithm design and analysis; Generators; Particle swarm optimization; Power system dynamics; Power system stability; Rotors; HPSO; dynamic stability; multi-machinery power system; power system stabilizer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and ECCE Asia (ICPE & ECCE), 2011 IEEE 8th International Conference on
  • Conference_Location
    Jeju
  • ISSN
    2150-6078
  • Print_ISBN
    978-1-61284-958-4
  • Electronic_ISBN
    2150-6078
  • Type

    conf

  • DOI
    10.1109/ICPE.2011.5944719
  • Filename
    5944719