• DocumentCode
    3384129
  • Title

    Probabilistic assessment of operational risk considering different wind turbine technologies

  • Author

    Gonzalez-Longatt, F. ; Rueda, Jose L. ; Bogdanov, Dan

  • Author_Institution
    Fac. of Comput. & Eng, Coventry Univ., Coventry, UK
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents an assessment of the variability on the output power of three different types of wind turbines commercially available. The dynamic response of terminal voltage, active power and reactive power are evaluated using time-domain simulations obtained from DIgSILENT® PowerFactory™. The assessment of the variability is performed based on probability density function, Pearson correlation coefficient and scatterplots. Results of this evaluation demonstrated that variable speed wind turbines using synchronous generator exhibits the better dynamic performance considering the wind speed changes, and highlight the need of smart grid oriented control strategies aiming at coordinated management of individual wind turbine controllers to avoid adverse implications of wind speed fluctuation.
  • Keywords
    power generation control; power system management; probability; reactive power; risk management; synchronous generators; wind turbines; DIgSILENT PowerFactory; Pearson correlation coefficient; coordinated management; individual wind turbine controller; operational risk; output power variability; probabilistic assessment; probability density function; reactive power; scatter plot; smart grid oriented control strategy; synchronous generator; terminal voltage; time-domain simulation; wind speed fluctuation; wind turbine technology; Correlation; Reactive power; Rotors; Wind power generation; Wind speed; Wind turbines; Monte Carlo method; probabilistic modeling; risk assessment; wind power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT Europe), 2012 3rd IEEE PES International Conference and Exhibition on
  • Conference_Location
    Berlin
  • ISSN
    2165-4816
  • Print_ISBN
    978-1-4673-2595-0
  • Electronic_ISBN
    2165-4816
  • Type

    conf

  • DOI
    10.1109/ISGTEurope.2012.6465680
  • Filename
    6465680