• DocumentCode
    1024604
  • Title

    Comparison of alternative techniques for evaluating the marginal outage costs of generating systems

  • Author

    Ghajar, R. ; Billinton, R.

  • Author_Institution
    Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask., Canada
  • Volume
    8
  • Issue
    4
  • fYear
    1993
  • fDate
    11/1/1993 12:00:00 AM
  • Firstpage
    1550
  • Lastpage
    1556
  • Abstract
    Quantitative evaluation of the marginal outage costs associated with generating systems involves, among other things, the construction of a model of the system capacity outages. This model is inherently discrete and application of the well-known and basic recursive technique requires lengthy computations when applied to large power systems. Alternatively, continuous distributions and fast Fourier transforms can be used to approximate the generating system capacity model. These techniques can in some cases introduce inaccuracies in the results, which depend on the system under consideration. Several authors have used these approximate techniques in the calculation of capacity outage probabilities, the study of parameter uncertainty in generating capacity reliability evaluation, the calculation of the expected energy production costs and the maintenance scheduling of generating facilities. This paper discusses the potential application of the approximate techniques in the evaluation of the marginal outage costs of a power system. The results of the approximate techniques are illustrated by comparison with those produced by the exact recursive technique for the IEEE-Reliability Test System
  • Keywords
    economics; electric power generation; power systems; IEEE-Reliability Test System; approximate techniques; capacity outage probabilities; expected energy production costs; generating capacity reliability evaluation; generating systems; maintenance scheduling; marginal outage costs evaluation; parameter uncertainty; system capacity outages model; Capacity planning; Costs; Fast Fourier transforms; Maintenance; Power system modeling; Power system reliability; Probability; Production; System testing; Uncertain systems;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.260959
  • Filename
    260959