• DocumentCode
    624420
  • Title

    Reliability evaluation incorporating the load following capability of wind generation

  • Author

    Karki, Rajesh ; Dhungana, Dinesh ; Shimu, Samia ; Billinton, Roy

  • Author_Institution
    Power Syst. Res. Group, Univ. of Saskatchewan, Saskatoon, SK, Canada
  • fYear
    2013
  • fDate
    5-8 May 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Public concerns about adverse environmental impacts from conventional energy sources are causing a considerable increase in wind penetration in electric power systems as wind power is environmentally friendly and suitable for bulk power generation. The importance of accurate but simple wind resource models is becoming increasingly important as wind penetration continues to increase to carry out a realistic evaluation of system reliability. Analytical methods using annual wind models have generally been used for reliability evaluation of wind integrated systems. These methods do not recognize load following capability of wind. Seasonal period analysis can incorporate seasonal load following capability of wind. This paper evaluates the system adequacy indices on an annual and seasonal basis and then develops a technique to incorporate the diurnal load following capability of wind.
  • Keywords
    environmental factors; power generation reliability; power system simulation; wind power; adverse environmental impacts; analytical methods; annual wind models; load following capability; reliability evaluation; wind generation; wind integrated systems; Analytical models; Load modeling; Power system reliability; Reliability; Wind power generation; Wind speed; Reliability; analytical technique; diurnal variation; wind penetration; wind power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2013 26th Annual IEEE Canadian Conference on
  • Conference_Location
    Regina, SK
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4799-0031-2
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2013.6567702
  • Filename
    6567702