• DocumentCode
    1260269
  • Title

    Fuel Resource Scheduling, Part III: The Short-Term Problem

  • Author

    Kumar, A.B.Ranjit ; Vemuri, S. ; Gibbs, L.A. ; Hackett, D.F. ; Eisenhauer, J.T.

  • Author_Institution
    Harris Controls and Composition Division, Melbourne, FL
  • Issue
    7
  • fYear
    1984
  • fDate
    7/1/1984 12:00:00 AM
  • Firstpage
    25
  • Lastpage
    26
  • Abstract
    The paper presents a method for optimum scheduling of fuels over a few days, subject to fuel supply limits, spanning different time periods, and unit operating constraints. Constraints over mixed and shared fuels, are also considered. Results for a 17 unit/17 contract test system over a two day study period are presented and discussed. Scheduling fuel resources, in the short term, to satisfy fuel supply and consumption constraints is a nontrivial task for planning and operating engineers of an electric utility. The complexity of the problem increases when one has to consider the fuel constraints over different time periods (hour, day, combination of days, etc.) simultaneously. When the (linear) fuel constraints are coupled with the linear and nonlinear operating constraints of the system the complexity of the scheduling problem becomes a mathematical challenge for the operation researchers and is beyond the reach of intuitive methods. The current techniques for planning the operation of generating units in a power system subject to operating and fuel supply constraints share the following common features. 1) Daily (or study period) fuel supply limits are either too broad to be constraining or so narrow that they can be specified as fixed amounts that must be consumed. Either daily limits or study period limits (but not both) can be specified in a given study. 2) All hourly fuel supply constraints are translated as hourly constraints on the capacity of individual units. 3) Price of the fuel to be used by a unit is known apriori.
  • Keywords
    Approximation methods; Biological system modeling; Constraint optimization; Contracts; Couplings; Dynamic scheduling; Fuels; Piecewise linear approximation; Power generation; Power industry; Power system planning; Resource management; Spinning; System testing; Time factors;
  • fLanguage
    English
  • Journal_Title
    Power Engineering Review, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1724
  • Type

    jour

  • DOI
    10.1109/MPER.1984.5525862
  • Filename
    5525862