• DocumentCode
    3253033
  • Title

    Interruptible load contracts implementation in stochastic security constrained unit commitment

  • Author

    Bozorg, Mokhtar ; Hajipour, Ehsan ; Hosseini, Seyed Hamid

  • Author_Institution
    Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
  • fYear
    2010
  • fDate
    14-17 June 2010
  • Firstpage
    796
  • Lastpage
    801
  • Abstract
    Providing more choices to customers for determining the cost of their required reliability levels is one of the most important targets of restructured power system. Centralized management of reliability in Vertically Integrated Utility (VIU) applying the same policies to different customers is replaced with decentralized management allowing customers to participate in reliability management based on their required reliability levels. Hence, the importance of implementing interruptible load contracts that specifies each customer´s reliability level has been increased in power system studies. In this paper, stochastic programming based on Monte Carlo approach has been used to implement interruptible load contracts in security constrained unit commitment. The performance of the proposed method is demonstrated by applying it to a 6-bus system.
  • Keywords
    Monte Carlo methods; power system economics; power system management; power system reliability; stochastic programming; Monte Carlo approach; customer reliability level; interruptible load contracts implementation; power system reliability management; stochastic programming; stochastic security constrained unit commitment; vertically integrated utility; Contracts; Costs; Environmental economics; Fuel economy; Power generation economics; Power system management; Power system reliability; Power system security; Stochastic processes; Uncertainty; Monte Carlo; SCUC; interruptible load; reliability; stochastic programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5720-5
  • Type

    conf

  • DOI
    10.1109/PMAPS.2010.5528973
  • Filename
    5528973