• DocumentCode
    157689
  • Title

    Reliability assessment of power networks with wind farms, applying Wind-RAS software

  • Author

    Soltani, Sima ; Damroodi, Hossein ; Haghifam, Mahmood-Reza ; Soltani, Nahid

  • Author_Institution
    Dept. Electr. Eng., Islamic Azad Univ., Tehran, Iran
  • fYear
    2014
  • fDate
    7-10 July 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this study, a new software is applied for optimal reliability assessment and figure plotting regarding a wind site in Iran. The actual wind speed data of an Iranian Southern Island, Kish, is employed in the modeling. Also, the paper investigates the different suggested methods in the field of reliability evaluations of power networks which contain wind farms. The used software is a numerical computing environment, named Wind-RAS, and includes some innovative calculation methods. At first, the paper explains the problem and different methods of reliability assessment. Then the required data for calculations and plotting in the software is defined. Later, a case study in order to assess the reliability indices is presented. And finally, the valuable results and capabilities of software are declared which lead to a significant accuracy improvement of calculations and the efficient power networks planning in the presence of wind generation. Also, the results will show the wind farm project in Kish site is highly attractive from a reliability point of view.
  • Keywords
    power engineering computing; power system planning; power system reliability; wind power plants; Iran; Kish island; Wind-RAS software; figure plotting; power networks; power networks planning; reliability assessment; wind farms; wind generation; Power system reliability; Software; Software reliability; Wind farms; Wind speed; Wind turbines; reliability forecasting; reliability software; reneawble energy; wind farm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems (PMAPS), 2014 International Conference on
  • Conference_Location
    Durham
  • Type

    conf

  • DOI
    10.1109/PMAPS.2014.6960675
  • Filename
    6960675