• DocumentCode
    1580698
  • Title

    Appreciating Wind Energy´s Probabilistic Nature within the Uncertainty Context of Electric Power System Network Planning

  • Author

    Burke, Daniel J. ; OMalley, M.J.

  • fYear
    2013
  • Firstpage
    2215
  • Lastpage
    2221
  • Abstract
    Electric power system network planning is influenced by the uncertainty in many parameters, such as future customer-demand/fossil-fuel-price parameter projections and new generation plant locations, which can generally be modeled in an approximate or subjective manner at best. Historically recorded wind power data presented here supports the contention that medium-term wind power generation profiles tend to follow more stable probability distributions. While it is widely acknowledged that the addition of wind power to a system makes network investment analysis more difficult in some respects, such data patterns nevertheless evoke an important discussion on how this relatively more probabilistic (i.e. not uncertain) characteristic of wind power may have some positive value for transmission planning and its related decision making procedures.
  • Keywords
    Biological system modeling; Planning; Power systems; Probabilistic logic; Uncertainty; Wind; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2013 46th Hawaii International Conference on
  • Conference_Location
    Wailea, HI, USA
  • ISSN
    1530-1605
  • Print_ISBN
    978-1-4673-5933-7
  • Electronic_ISBN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2013.98
  • Filename
    6480110