• DocumentCode
    1949098
  • Title

    Dynamic simulation of DFIG wind turbines on FPGA boards

  • Author

    Chen, Hao ; Sun, Song ; Aliprantis, Dionysios C. ; Zambreno, Joseph

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • fYear
    2010
  • fDate
    12-13 Feb. 2010
  • Firstpage
    39
  • Lastpage
    44
  • Abstract
    This paper presents the implementation of a dynamic simulation of a doubly fed induction generator (DFIG)-based wind turbine on a field-programmable gate array (FPGA) board. The explicit fourth-order Runge-Kutta numerical integration algorithm is used to obtain the system dynamic response. The FPGA simulation results and speed improvement are validated versus a Matlab/Simulink simulation. Using FPGAs as computational engines can lead to significant simulation speed gains when compared to a typical PC computer, especially when operations can be efficiently parallelized on the board.
  • Keywords
    Runge-Kutta methods; asynchronous generators; dynamic response; field programmable gate arrays; power engineering computing; wind turbines; DFIG wind turbines; FPGA boards; Matlab-Simulink simulation; doubly fed induction generator; dynamic simulation; explicit fourth-order Runge-Kutta numerical integration algorithm; field-programmable gate array; system dynamic response; typical PC computer; Algorithm design and analysis; Costs; Design optimization; Field programmable gate arrays; Genetic algorithms; Induction machines; Manufacturing; Space vehicles; Voltage; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Conference at Illinois (PECI), 2010
  • Conference_Location
    Urbana-Champaign, IL
  • Print_ISBN
    978-1-4244-5902-5
  • Type

    conf

  • DOI
    10.1109/PECI.2010.5437160
  • Filename
    5437160