• DocumentCode
    890387
  • Title

    Fuel Resource Scheduling -The Long-Term Problem

  • Author

    Kumar, A.B.Ranjit ; Vemuri, S. ; Ebrahimzadeh, P. ; Farahbakhshian, N.

  • Author_Institution
    Harris Controls and Composition Divisions Melbourne, FL 32901
  • Volume
    1
  • Issue
    4
  • fYear
    1986
  • Firstpage
    145
  • Lastpage
    151
  • Abstract
    Long-term fuel scheduling addresses the problem of optimum allocation of fuels to various generating units using mixed and shared fuels subject to yearly and monthly constraints, inventory constraints, generation availability constraints and load require ments (both energy and capacity). This problem is formulated as a network flow optimization problem. Feasibility of the resulting fuel consumption plan with respect to fuel constraints and its optimality with respect to cost of fuel purchases are assured by the network flow algorithm. Feasibility with respect to the load duration and generation availability are assured by defining appropriate fictitious branches in the network. The limits on these branches are calculated by the method of cumulants. The unit priorities in each month are modified by an iterative procedure, on the basis of both fuel price and fuel availability as seen by the network flow algorithm. Results for a 17 unit/17 contract test system over one year are presented to illustrate various aspects of the long-term fuel resource scheduling problem.
  • Keywords
    Availability; Computational modeling; Contracts; Convolution; Cost function; Fuels; Iterative algorithms; Noise measurement; Power systems; System testing;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.1986.4335030
  • Filename
    4335030