• DocumentCode
    1453892
  • Title

    Augmented Lagrangian approach to hydro-thermal scheduling

  • Author

    Al-Agtash, S. ; Su, Renjeng

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA
  • Volume
    13
  • Issue
    4
  • fYear
    1998
  • fDate
    11/1/1998 12:00:00 AM
  • Firstpage
    1392
  • Lastpage
    1400
  • Abstract
    This paper presents an augmented Lagrangian approach to hydro-thermal scheduling. It adds to the standard Lagrangian function a quadratic penalty function which associates generation-load balance, spinning reserve and emission constraints. This makes better commitment solutions that may exist in a dual gap very likely reachable by adjusting penalty and Lagrangian multipliers parameters. The advantage of this approach over Lagrangian relaxation and augmented Lagrangian with only the generation-load balance constraint penalized is discussed. An IEEE test system is used for illustration. Our results show that the augmented Lagrangian with all coupling constraints penalized can provide better scheduling results as it can detect in-between-hours shutdown of some units, earlier shutdown, and/or later startup of some other units
  • Keywords
    hydrothermal power systems; load dispatching; scheduling; IEEE test system; Lagrangian relaxation; augmented Lagrangian approach; coupling constraints penalisation; earlier shutdown detection; emission constraints; generation-load balance; generation-load balance constraint penalization; hydro-thermal scheduling; in-between-hours shutdown detection; quadratic penalty function; spinning reserve; standard Lagrangian function; startup detection; unit commitment; Constraint optimization; Costs; Job shop scheduling; Lagrangian functions; Large-scale systems; Power industry; Processor scheduling; Spinning; Standards publication; Testing;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.736282
  • Filename
    736282