• DocumentCode
    648381
  • Title

    Effective Wind farm iterative sizing method using voltage stability techniques

  • Author

    Tamimi, Ala A. ; Pahwa, Anil ; Starrett, Shelli ; Williams, N.

  • Author_Institution
    Sunflower Electr. Power Corp., Hays, KS, USA
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Current methods for determining wind farm maximum sizes which do not consider voltage stability margins (VSMs) may result in reducing the overall levels of wind penetration in a system. In this paper, new iterative method have been developed to increase wind penetration level by placing new wind generation at voltage stability strong wind injection buses. The new method provide a comprehensive methodology for the identification of system weaknesses for each wind penetration level. The new method incorporate modal analysis as well as traditional voltage stability methods (Q-V curves) in sizing and placing new wind farms. Applying this new method to the power system in western Kansas resulted in significant increase in wind penetration by Sizing up wind farms at locations with low contribution to voltage instability compared to locations with high contribution to voltage instability.
  • Keywords
    iterative methods; power system control; stability; voltage control; wind power plants; Q-V curves; iterative method; modal analysis; sizing and placing new wind farms; traditional voltage stability methods; voltage instability; voltage stability techniques; wind farm iterative sizing method; wind injection buses; wind penetration; Eigenvalues and eigenfunctions; Power system stability; Stability analysis; Thermal stability; Wind farms; Wind power generation; Wind turbines; Eigenvalues; Modal Analysis; Q-V Curves; Voltage Stability Margin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672960
  • Filename
    6672960