• DocumentCode
    2535033
  • Title

    Selected properties of wind capacity contributions applications of the constant z-statistic method

  • Author

    Dragoon, Ken

  • Author_Institution
    Renewable Northwest Project in Portland, Portland, OH
  • fYear
    2008
  • fDate
    20-24 July 2008
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    The relatively complex relationship between power demand and wind generation patterns complicates estimating and communicating wind generation capacity contribution. Standard utility methods such as establishing minimum reserve margins are generally not adequate. Load carrying capability of wind projects can be assessed with probabilistic metrics using stochastic power system models. However, stochastic methods tend to be relatively expensive and cumbersome for assessing multiple projects. The constant z-statistic method provides a simple analytical estimate for incremental resource additions that can be helpful in applications with multiple wind projects where correlations among project output is also a consideration. This paper reviews the constant z-statistic method as applied to wind projects, and examines properties of wind capacity through examples.
  • Keywords
    power generation planning; power system reliability; wind power; constant z-statistic method; power generation planning; power system availability; power system planning; power system reliability; wind capacity contributions; wind energy; wind generation; Power generation; Power system analysis computing; Power system modeling; Power system planning; Power system reliability; Power systems; Stochastic processes; Stochastic systems; Wind energy generation; Wind power generation; Power generation peaking capacity; power generation planning; power system availability; power system planning; power system reliability; wind; wind energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
  • Conference_Location
    Pittsburgh, PA
  • ISSN
    1932-5517
  • Print_ISBN
    978-1-4244-1905-0
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2008.4596291
  • Filename
    4596291