• DocumentCode
    1871765
  • Title

    Simulated annealing for the unit commitment problem

  • Author

    Viana, Ana ; De Sousa, Jorge Pinho ; Matos, Manuel

  • Author_Institution
    Instituto Superior de Engenharia do Porto, Portugal
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Abstract
    Due to their efficiency and their interesting design and implementation features, metaheuristics have been used for a long time with success, in dealing with combinatorial problems. They have been applied to the unit commitment problem with rather interesting results that justify further research in the area. In this paper we present a simulated annealing approach to the unit commitment problem. Two coding schemes are compared, new neighbourhood structures are presented and some searching strategies are discussed. Preliminary computational experience, performed on some test instances, shows that this approach is flexible, effective and able to handle variations on the problem structure
  • Keywords
    combinatorial mathematics; power generation planning; power generation scheduling; query formulation; simulated annealing; coding schemes; combinatorial problems; generation scheduling; metaheuristics; neighbourhood structures; power generators operation planning; search strategies; simulated annealing; unit commitment; Computational modeling; Costs; Dynamic programming; Lagrangian functions; Performance evaluation; Power engineering computing; Power generation; Power system simulation; Simulated annealing; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Tech Proceedings, 2001 IEEE Porto
  • Conference_Location
    Porto
  • Print_ISBN
    0-7803-7139-9
  • Type

    conf

  • DOI
    10.1109/PTC.2001.964747
  • Filename
    964747