• DocumentCode
    560856
  • Title

    PSO algorithm-based optimal tuning of STATCOM for voltage control in a wind farm integrated system

  • Author

    Demiroren, Aysen ; Guleryuz, Merve

  • Author_Institution
    Istanbul Tech. Univ., Istanbul, Turkey
  • fYear
    2011
  • fDate
    1-4 Dec. 2011
  • Abstract
    In this paper a method based on Particle Swarm Optimization (PSO) algorithm is presented for tuning static synchronous compensator (STATCOM) parameters. STATCOM is used for voltage and reactive power control in a wind farm integrated power system in both steady state and contingency situations. Doubly-fed induction generator (DFIG) is used as the wind generator model. In order to investigate the proposed performance, the method is applied to the IEEE-14 bus test system. Simulations are implemented in Power System Analysis Toolbox (PSAT) and MATLAB. The main purpose of the approach is to keep to voltage at the wind farm connection bus in reference value and to minimize the voltage deviations immediately after a heavy loaded line outage which is connected to the wind farm. Simulation results prove the capability of the PSO technique in optimal tuning of STATCOM for voltage control.
  • Keywords
    asynchronous generators; particle swarm optimisation; power system analysis computing; reactive power control; static VAr compensators; voltage control; wind power plants; IEEE-14 bus test system; MATLAB; STATCOM; contingency situations; doubly-fed induction generator; optimal tuning; particle swarm optimization; power system analysis toolbox; reactive power control; static synchronous compensator; steady state situations; voltage control; wind farm integrated system; wind generator; Automatic voltage control; Mathematical model; Power system stability; Reactive power; Wind farms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineering (ELECO), 2011 7th International Conference on
  • Conference_Location
    Bursa
  • Print_ISBN
    978-1-4673-0160-2
  • Type

    conf

  • Filename
    6140223