• DocumentCode
    1922252
  • Title

    Dual maximization methods for Lagrangian Relaxation-Based SCUC

  • Author

    Pinto, Herminio ; Magnago, Fernando ; Worhach, Paul

  • Author_Institution
    Nexant, Inc., Chandler, AZ, USA
  • fYear
    2010
  • fDate
    1-6 Aug. 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper discusses the analytical and computational challenges of various sub-gradient and cutting plane methods applied to updating Lagrangian multipliers associated with the Security-Constrained Unit Commitment problem. Large-scale testing systems are used to demonstrate the effectiveness of the different algorithms.
  • Keywords
    optimisation; power generation dispatch; power generation scheduling; power system security; Lagrangian relaxation-based SCUC; dual maximization methods; largescale testing systems; security constrained unit commitment; Algorithm design and analysis; Approximation methods; Complexity theory; Ellipsoids; Generators; Gravity; Schedules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bulk Power System Dynamics and Control (iREP) - VIII (iREP), 2010 iREP Symposium
  • Conference_Location
    Rio de Janeiro
  • Print_ISBN
    978-1-4244-7466-0
  • Electronic_ISBN
    978-1-4244-7465-3
  • Type

    conf

  • DOI
    10.1109/IREP.2010.5563257
  • Filename
    5563257
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1922252