• DocumentCode
    2044600
  • Title

    Optimal transmission planning based on quantitative security risk in uncertain environment

  • Author

    Changhui Ma ; Pengfei Zhang ; Lei Zhang ; Hengxu Zhang

  • Author_Institution
    Shandong Electr. Res. Inst., Jinan, China
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The present status of transmission planning is reviewed from various viewpoints and the new requirements of transmission planning resulting from development of electricity markets are discussed. In the deregulated electricity market, there is no longer centrally coordinated planning of new generation or closure of existing generation, which are basically at the generation companies´ own discretion, and price bidding of electricity market results in more uncertain injection power. Transmission system planning in the electricity market environment has to be confronted with much more uncertain factors. In order to ensure a flexible transmission system, this paper extends the transmission planning model, which considers both static security risk and dynamic security risk, to deal with uncertain injection power at the buses. A global optimization framework is developed to resolve the problems caused by the multi-object mathematical model and uncertain power injections. A numerical example is presented to illustrate the validity of the method.
  • Keywords
    mathematical analysis; optimisation; power markets; power system security; power transmission planning; power transmission protection; deregulated electricity market; dynamic security risk; electricity markets development; flexible transmission system; generation companies; global optimization framework; injection power; multiobject mathematical model; optimal transmission planning; price bidding; quantitative security risk; static security risk; transmission planning model; uncertain environment; uncertain power injections; Linear programming; Optimization; Planning; Power system stability; Power transmission lines; Security; Vectors; Monte Carlo simulation; electricity market; security risk; transmission expansion planning; uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6344778
  • Filename
    6344778