• DocumentCode
    2450039
  • Title

    A reduced order model and control for a wind turbine induction generators

  • Author

    Movahednasab, A. ; Madani, Seyed M. ; Shahbazi, M.M.

  • Author_Institution
    Isfahan Univ. of Technol., Isfahan
  • fYear
    2008
  • fDate
    10-13 Nov. 2008
  • Firstpage
    1095
  • Lastpage
    1100
  • Abstract
    Self Excited squirrel cage Induction Generator (SEIG), is used widely to convert mechanical wind energy to electricity, due to their low cost, small size, no need of separate dc source and brushes. This paper proposes a new reduced order model for small wind energy system consisting of: Squirrel Cage Induction with excitation capacitors, D-Statcom, loads and mechanical parameters. Comparing with conventional high order model, the presented model gives a physical insight and clearly describes the dynamic behavior of frequency and voltage of a SIEG supplied system during isolating from a power system grid. Based on the proposed model, qualitative analysis and controller design method for voltage and frequency control has been presented. These proposed controllers are applied on a 33 kv wind energy system, and compared with high order model using MATLAB- Simulink. The simulation results verified the validity of the proposed models and control schemes.
  • Keywords
    asynchronous generators; control system synthesis; frequency control; machine control; power grids; voltage control; wind turbines; controller design method; excitation capacitors; frequency control; power system grid; reduced order model; self excited squirrel cage induction generator; small wind energy system; voltage control; wind turbine induction generators; Costs; Energy conversion; Induction generators; Mathematical model; Power system dynamics; Power system modeling; Power system simulation; Reduced order systems; Wind energy; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-1767-4
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2008.4758107
  • Filename
    4758107