• DocumentCode
    821754
  • Title

    Implementation of a Lagrangian relaxation based unit commitment problem

  • Author

    Virmani, Sudhir ; Adrian, Eugene C. ; Imhof, Karl ; Mukherjee, Shishir

  • Author_Institution
    Electr. Power Ind. Consultants, Mountain View, CA, USA
  • Volume
    4
  • Issue
    4
  • fYear
    1989
  • fDate
    11/1/1989 12:00:00 AM
  • Firstpage
    1373
  • Lastpage
    1380
  • Abstract
    An effort is made to provide an understanding of the practical aspects of the Lagrangian relaxation methodology for solving the thermal unit commitment problem. Unit commitment is a complex, mixed integer, nonlinear programming problem complicated by a small set of side constraints. Until recently, unit commitment for realistic size system has been solved using heuristic approaches. The Lagrangian relaxation offers a new approach for solving such problems. Essentially, the method involves decomposition of the problem into a sequence of master problems and easy subproblems, whose solutions converge to an ε-optimal solution to the original problem. The authors concentrate on the implementation aspects of the Lagrangian relaxation method applied to realistic and practical unit commitment problems
  • Keywords
    nonlinear programming; power systems; Lagrangian relaxation based unit commitment; mixed integer; nonlinear programming problem; thermal unit commitment problem; Capacity planning; Costs; Demand forecasting; Dynamic programming; Job shop scheduling; Lagrangian functions; Mathematical programming; Power system dynamics; Power systems; Relaxation methods;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.41687
  • Filename
    41687