• DocumentCode
    1144781
  • Title

    Simulated annealing with local search-a hybrid algorithm for unit commitment

  • Author

    Purushothama, G.K. ; Jenkins, Lawrence

  • Author_Institution
    Dept. of Electr. Eng., Malnad Coll. of Eng., Karnataka, India
  • Volume
    18
  • Issue
    1
  • fYear
    2003
  • fDate
    2/1/2003 12:00:00 AM
  • Firstpage
    273
  • Lastpage
    278
  • Abstract
    A hybrid algorithm has been developed for the solution of the unit commitment problem. This hybrid technique uses simulated annealing as the main algorithm. At each temperature, fresh solutions are generated randomly, and with a high likelihood of being feasible. Local search is made in the neighborhood of the best solution, using a heuristic decommitment technique. The hybrid algorithm is robust and has improved convergence, compared with earlier algorithms. The results obtained in system studies indicate its potential for solving the unit commitment problem.
  • Keywords
    heuristic programming; power generation dispatch; power generation planning; power generation scheduling; search problems; simulated annealing; convergence; feasibility probability; generation scheduling; heuristic decommitment technique; hybrid unit commitment algorithm; local search; simulated annealing; Availability; Computational modeling; Constraint optimization; Costs; Fuels; Linear programming; Robustness; Simulated annealing; Spinning; Temperature;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2002.807069
  • Filename
    1178808