• DocumentCode
    1686254
  • Title

    State space modeling of parallel self-excited induction generators for wind farm simulation

  • Author

    Farret, F.A. ; Palle, B. ; Simões, M. Godoy

  • Author_Institution
    Dept. of Electron. & Comput., Fed. Univ. of Santa Maria, Brazil
  • Volume
    4
  • fYear
    2004
  • Firstpage
    2801
  • Abstract
    Self-excited induction generators (SEIG) offer many advantages as variable speed generators in renewable energy systems. Small hydro and wind generating systems have constraints on the size of individual machines and several induction generators must be paralleled in order to fully access the potential of the site. SEIGs connected in parallel may lose excitation momentarily due to large transient currents caused by differences in individual instantaneous voltages and frequency. This phenomenon cannot be easily simulated using the conventional models due such a fast transient nature. This work presents an innovative and automatic numerical solution for steady-state and transient analysis of any number of SEIGs operating in parallel. Experimental results confirm the accuracy of the proposed model opening new possibilities to incorporate advanced control to monitor and optimize a parallel installation of SEIGs. The proposed SEIG model is applied to a two-turbine case, which can be extended to any number to simulate a wind generating system.
  • Keywords
    asynchronous generators; hydroelectric power stations; installation; machine control; optimisation; power system simulation; transient analysis; variable speed drives; wind power plants; wind turbines; SEIG; hydro generating systems; optimization; parallel installation; renewable energy systems; self-excited induction generators; state space modeling; steady-state analysis; transient analysis; transient currents; variable speed generators; wind farm simulation; wind generating systems; Automatic control; Frequency; Induction generators; Renewable energy resources; State-space methods; Steady-state; Transient analysis; Voltage; Wind energy generation; Wind farms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Conference, 2004. 39th IAS Annual Meeting. Conference Record of the 2004 IEEE
  • ISSN
    0197-2618
  • Print_ISBN
    0-7803-8486-5
  • Type

    conf

  • DOI
    10.1109/IAS.2004.1348870
  • Filename
    1348870