• DocumentCode
    735848
  • Title

    Temperature-based instanton analysis: Identifying vulnerability in transmission networks

  • Author

    Kersulis, Jonas ; Hiskens, Ian ; Chertkov, Michael ; Backhaus, Scott ; Bienstock, Daniel

  • Author_Institution
    Elec. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2015
  • fDate
    June 29 2015-July 2 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A time-coupled instanton method for characterizing transmission network vulnerability to wind generation fluctuation is presented. To extend prior instanton work to multiple-time-step analysis, line constraints are specified in terms of temperature rather than current. An optimization formulation is developed to express the minimum wind forecast deviation such that at least one line is driven to its thermal limit. Results are shown for an IEEE RTS-96 system with several wind-farms.
  • Keywords
    power transmission protection; wind power plants; IEEE RTS-96 system; temperature based instanton analysis; time-coupled instanton method; transmission network vulnerability; wind generation fluctuation; Heating; Forecast uncertainty; Optimization; Transmission operations; Wind energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2015 IEEE Eindhoven
  • Conference_Location
    Eindhoven
  • Type

    conf

  • DOI
    10.1109/PTC.2015.7232816
  • Filename
    7232816