• DocumentCode
    1582634
  • Title

    Integrated generation and transmission planning tools under competitive energy markets: An academic perspective

  • Author

    Li, Fangxing ; Yuan, Hui ; Tomsovi, Kevin

  • Author_Institution
    Min H. Kao Dept. of Electr. Eng. & Comput. Sci., Univ. of Tennessee, Knoxville, TN, USA
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper first briefly reviews the typical functionality and structure of market-based generation and transmission planning tools. Possible new functions are discussed to include bidding strategy models and system dynamics models. The former is used to reflect the behavior and the learning process of market participants and the latter represents an information feedback loop to account for long term impact of decisions. Improvements in algorithms and implementation are discussed. The discussion includes AC versus DC model, engineering model versus statistical model, Monte Carlo simulation for reliability, and distributed implementation.
  • Keywords
    Monte Carlo methods; power engineering computing; power generation planning; power markets; power transmission planning; Monte Carlo simulation; bidding strategy models; competitive energy markets; generation planning tools; information feedback loop; system dynamics models; transmission planning tools; Cost benefit analysis; Cost function; Load modeling; Performance analysis; Power generation; Power system modeling; Power system planning; Process planning; Security; Software tools; integrated generation and transmission planning; optimization; power markets; software tool;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2009. PES '09. IEEE
  • Conference_Location
    Calgary, AB
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-4241-6
  • Type

    conf

  • DOI
    10.1109/PES.2009.5275489
  • Filename
    5275489