• DocumentCode
    3387504
  • Title

    Study on Modeling Simulation and Identification of Wind Generator Based on DIgSILENT

  • Author

    Sheng, Chao ; Zeng, Jie ; Chu, Wenjia ; Zeng, Yuan

  • Author_Institution
    Electr. Power Res. Inst. of Guangdong Power, Grid Corp., Guangzhou, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The integration of large scale wind farms bring serious influence to the stability of power system. In this paper, a simulation model of doubly-fed induction generator (DFIG) based wind turbine with capacity of 1.5 MW is constructed using the module of parameter identification in simulation software DIgSILENT. Then, to decrease the modeling error came from the difference between the wind energy utilization factor table in the DIgSILENT model and that of the actual wind generator, a new modified wind energy utilization factor table is developed. Finally, the DFIG-based wind turbine model, with corresponding identified parameters, is used to the practical wind generator by its actual operation data. The simulation result show that the active power output by the constructed simulation model has the similar tendency with the practical wind power data, i.e. the proposed method and the constructed model are effective.
  • Keywords
    asynchronous generators; power system parameter estimation; power system simulation; wind power plants; wind turbines; DFIG simulation model; DFIG-based wind turbine model; DIgSILENT simulation software; doubly-fed induction generator simulation model; large scale wind farm integration; modified wind energy utilization factor table; power 1.5 MW; wind generator modeling simulation; wind turbine; Data models; Induction generators; Parameter estimation; Wind energy; Wind power generation; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307086
  • Filename
    6307086