• DocumentCode
    1536462
  • Title

    A multiobjective operations planning model with unit commitment and transmission constraints

  • Author

    Chattopadhyay, D. ; Momoh, James

  • Author_Institution
    Dept. of Electr. Eng., Howard Univ., Washington, DC, USA
  • Volume
    14
  • Issue
    3
  • fYear
    1999
  • fDate
    8/1/1999 12:00:00 AM
  • Firstpage
    1078
  • Lastpage
    1084
  • Abstract
    This paper presents a modeling framework for operations planning for generation and transmission for a period of a year or few months that incorporates (in an approximate way) the dynamic constraints on generator output and the static transmission constraints. The model is capable of performing the following tasks: generation scheduling, interutility transmission scheduling, maintenance scheduling, fuel allocation to thermal/nuclear plants, reactive power planning, DSM and nonutility generation purchase planning. The model checks the operating feasibility of the long term planning decisions by unit commitment and OPF modules in an interactive way. There is a feedback mechanism to modify the long term generation and transmission schedule to reflect the operational feasibility of the long term planning exercise. The model makes use of compromise programming to perform multiobjective analysis. A case study for a 120-bus test system (four area IEEE 30-bus systems) is carried out to illustrate the application of the proposed modeling framework
  • Keywords
    approximation theory; power generation dispatch; power generation planning; power generation scheduling; power system analysis computing; power transmission planning; DSM; OPF modules; compromise programming; computer simulation; feedback mechanism; fuel allocation; generation scheduling; interutility transmission scheduling; long term planning decisions; maintenance scheduling; multiobjective power system operations planning model; nonutility generation purchase planning; reactive power planning; transmission constraints; unit commitment; Control system synthesis; Feedback; Fuels; Performance analysis; Power generation; Power system modeling; Power system planning; Reactive power; Scanning probe microscopy; Strategic planning;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.780928
  • Filename
    780928