• DocumentCode
    2421717
  • Title

    A prediction model of the voltage variation according to the wind power installation capacity in an isolated grid

  • Author

    Im, Ji-Hoon ; Song, Seung-Ho

  • Author_Institution
    Dept. of Electr. Eng., Kwangwoon Univ., Seoul, South Korea
  • fYear
    2009
  • fDate
    17-20 May 2009
  • Firstpage
    1080
  • Lastpage
    1084
  • Abstract
    In a hybrid power system where wind power generators are installed in an isolated system, the prediction and investigation study about the power quality is necessary. Especially, the voltage variation is one of the most important issues for the application of high penetration of wind farm in an isolated grid. As part of an experimental program to evaluate wind turbine generator performance on the isolated diesel power system, a simplified model for voltage deviation calculation is developed and tested according to the installation capacity of wind power. Results of calculation from the proposed model, the simulation results using simplified PSCAD/EMTDC model of the grid system, and the measured voltage variation problem. As a result the prediction error of the voltage variation at PCC was lower than 10% of the actual value, which gives quick approximate calculation of the voltage variation limits with the planned size of the wind turbine installations.
  • Keywords
    power grids; wind power; wind turbines; PSCAD/EMTDC model; grid system; hybrid power system; isolated grid; power quality; voltage variation prediction; wind power generator; wind power installation capacity; wind turbine generator; Hybrid power systems; PSCAD; Power generation; Power system modeling; Power system simulation; Predictive models; Voltage; Wind energy; Wind energy generation; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Motion Control Conference, 2009. IPEMC '09. IEEE 6th International
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3556-2
  • Electronic_ISBN
    978-1-4244-3557-9
  • Type

    conf

  • DOI
    10.1109/IPEMC.2009.5157545
  • Filename
    5157545