• DocumentCode
    2516357
  • Title

    Multi objective power system restoration

  • Author

    Nouri-Zadeh, Saber ; Ranjbar, Ali Mohammad

  • Author_Institution
    Electr. Eng. Dept., Sharif Univ. of Technol., Tehran
  • fYear
    2008
  • fDate
    6-7 Oct. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a stochastic model for optimal generating unitspsila restoration planning. Restoration plans will be performed based on different objectives i.e. total system risk, total served energy in the period of restoration, and total restoration time. The proposed model is a multi objective stochastic program in which generating unitspsila restoration plan is assumed to optimize different kinds of objective function. The proposed approach to the optimal restoration of generating units can be used by vertically integrated utilities as well as the ISOs in electricity markets. The approach coordinates the optimal start up of generating units within the restoration period. Physical constraints of generating units and power system restoration constraints are taken into account. The proposed approach highlights a trade-off between different objectives of power system restoration. A simple system is used for detailed analyses and simulation results exhibit the effectiveness of the proposed restoration approach.
  • Keywords
    power generation planning; power markets; power system restoration; risk analysis; stochastic processes; electricity markets; multiobjective power system restoration constraints; optimal generation unit restoration planning; stochastic model; total system risk analysis; vertically integrated utilities; Capacity planning; Character generation; Power generation; Power system modeling; Power system planning; Power system reliability; Power system restoration; Stochastic systems; Technology planning; Waste materials; Multi Objective Programming; Power System Restoration; Stochastic Programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Power Conference, 2008. EPEC 2008. IEEE Canada
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4244-2894-6
  • Electronic_ISBN
    978-1-4244-2895-3
  • Type

    conf

  • DOI
    10.1109/EPC.2008.4763349
  • Filename
    4763349