• DocumentCode
    1762837
  • Title

    Security-Constrained Unit Commitment With Uncertain Wind Generation: The Loadability Set Approach

  • Author

    Kalantari, Arash ; Restrepo, Jose F. ; Galiana, Francisco D.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
  • Volume
    28
  • Issue
    2
  • fYear
    2013
  • fDate
    41395
  • Firstpage
    1787
  • Lastpage
    1796
  • Abstract
    We present a novel approach to the security-constrained unit commitment (SCUC) with uncertain wind power generation. The goal is to solve the problem considering multiple stochastic wind power scenarios but while significantly reducing the computational burden associated with the calculation of the reserve deployment for each scenario. The method is called reduced SCUC or R-SCUC and is based on the notion of loadability set, that is, the set of residual demand scenarios that can be met by the transmission and reserve capability of a given power system at any specific hour. The key is to project all feasible generation and demand vectors onto the demand space and reformulate the SCUC within this loadability set rather than on the larger set of generation and demand. The accuracy and performance of R-SCUC were gauged and compared to SCUC via a three-region multi-unit system and by the IEEE 24-bus reliability test system with multiple units. Simulations support the accuracy and superior computational performance of R-SCUC.
  • Keywords
    demand side management; power generation dispatch; power generation reliability; power generation scheduling; wind power; IEEE 24-bus reliability test; SCUC; demand space; demand vector generation; loadability set approach; power system; residual demand; security-constrained unit commitment; stochastic wind power; three-region multiunit system; wind generation; wind power generation; Computational modeling; Load modeling; Schedules; Stochastic processes; Vectors; Wind forecasting; Wind power generation; Loadability set; security-constrained unit commitment (SCUC); transmission congestion; wind power uncertainty;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2012.2230029
  • Filename
    6387641