• DocumentCode
    647894
  • Title

    Security-constrained unit commitment with uncertain wind generation: The loadability set approach

  • Author

    Kalantari, Arash ; Restrepo, Jose ; Galiana, Francisco

  • Author_Institution
    Electr. & Comput. Eng, McGill Univ., Montreal, QC, Canada
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Summary form only given. 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
    IEEE standards; power system reliability; wind power plants; IEEE 24-bus reliability test system; security-constrained unit commitment; stochastic wind power scenarios; wind power generation; Accuracy; Computers; Educational institutions; Power system reliability; Vectors; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672443
  • Filename
    6672443