• DocumentCode
    657968
  • Title

    Optimizing control of Wind Energy Conversion System using Particale Swarm Optimization

  • Author

    Deab, M.A. ; Bendary, Fahmy Metwally Ahmed ; Said, E.M. ; Hassan, M. A. Moustafa

  • Author_Institution
    Elec. Power Syst. Dept., Banha Univ. (Shoubra), Cairo, Egypt
  • fYear
    2013
  • fDate
    6-8 May 2013
  • Firstpage
    208
  • Lastpage
    211
  • Abstract
    This Paper presents a model of Wind Energy Conversion System (WECS) using Permanent Magnet Synchronous Generator (PMSG). This system is a grid connected system and contains two power converters and capacitor bank. This system is controlled by PI control for controlling the Voltage Source Inverter (VSI). Particle Swarm Optimization (PSO) code is used to calculate the parameters of the controller to minimize the over shoot and settling time of the output power waveform. The model of the system is built by Power SIMulator program (PSIM) and the PSO code is written in MATLAB program. The PSIM program has function to connect the two programs together. Finally the obtained results are presented and discussed.
  • Keywords
    PI control; particle swarm optimisation; permanent magnet motors; power convertors; power engineering computing; power generation control; power grids; synchronous generators; wind power; MATLAB program; PI control; PMSG; PSIM; PSO code; VSI; WECS; capacitor bank; grid connected system; particle swarm optimization; permanent magnet synchronous generator; power converter; power simulator program; power waveform; voltage source inverter; wind energy conversion system; Control systems; Generators; Mathematical model; Voltage control; Wind energy; Wind speed; Wind turbines; Grid connected; Optimization; PI control; PSIM; PSO; WECS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Decision and Information Technologies (CoDIT), 2013 International Conference on
  • Conference_Location
    Hammamet
  • Print_ISBN
    978-1-4673-5547-6
  • Type

    conf

  • DOI
    10.1109/CoDIT.2013.6689545
  • Filename
    6689545