• DocumentCode
    647656
  • Title

    A new method of solving the unit commitment problem

  • Author

    Xian Liu

  • Author_Institution
    Dept. of Syst. Eng., Univ. of Arkansas at Little Rock, Little Rock, AR, USA
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Unit commitment (UC) is a fundamental problem in power systems and has been extensively investigated by many researchers. However, almost all existing approaches are based on integer decision variables. In this paper, we propose an alternative approach, in which the continuous variables (real output power) are the only decision variables. This approach is based on a simple theoretical result, for which a proof is given. Then a new model is presented, followed by several 24-dimensional and 96-dimensional test cases. The results are consistent with those solved by conventional approaches reported in the literature.
  • Keywords
    dynamic programming; integer programming; power generation scheduling; 24-dimensional test cases; 96-dimensional test cases; Lagrangian relaxation; continuous variables; decision variables; dynamic programming; integer decision variables; integer programming; power systems; unit commitment problem; Computer aided software engineering; Economics; Mathematical model; Numerical models; Optimization; Particle swarm optimization; Power systems; Generator scheduling; integer programming; optimization; unit commitment;
  • 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.2013.6672177
  • Filename
    6672177