• DocumentCode
    1705972
  • Title

    Wind power in power generation planning

  • Author

    Karki, Rajesh

  • Author_Institution
    Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask., Canada
  • Volume
    3
  • fYear
    2004
  • Firstpage
    1511
  • Abstract
    Wind energy applications are rapidly increasing in power generating systems due to widespread public support for renewable energy. Wind energy, however, has not been considered as an important factor in capacity planning since wind penetration has traditionally been insignificant compared to conventional generation. It will be increasingly important to consider wind energy in generation planning as wind penetration continues to increase. It is difficult to assign a capacity credit to a wind turbine generator since its actual capacity is limited by the random variation of the wind speed and the turbine characteristics. Capacity planning considering wind power requires realistic cost/reliability evaluation techniques that respond to the inherent random variables. This paper presents an evaluation model and applies it to a test system to illustrate the influence of different factors on generation planning.
  • Keywords
    Monte Carlo methods; power generation planning; power generation reliability; power system simulation; wind power; wind turbines; Monte Carlo simulation; capacity planning; cost/reliability evaluation; power generation planning; power system reliability; random variation; renewable energy; turbine characteristics; wind energy; wind power; wind speed; wind turbine generator; Capacity planning; Character generation; Power generation; Power generation planning; Power system planning; Renewable energy resources; Wind energy; Wind energy generation; Wind speed; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2004. Canadian Conference on
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-8253-6
  • Type

    conf

  • DOI
    10.1109/CCECE.2004.1349693
  • Filename
    1349693