• DocumentCode
    1206790
  • Title

    A basic framework for generating system operating health analysis

  • Author

    Billinton, Roy ; Fotuhi-Firuzabad, Mahmud

  • Author_Institution
    Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask., Canada
  • Volume
    9
  • Issue
    3
  • fYear
    1994
  • fDate
    8/1/1994 12:00:00 AM
  • Firstpage
    1610
  • Lastpage
    1617
  • Abstract
    A probabilistic technique is presented in this paper to assess the operating reserve requirements in a system. In this approach, the generation system is classified into different system operating states. This technique combines deterministic with probabilistic indices to monitor the well-being. The system well-being as designated by deterministic criteria are identified as being healthy, marginal and at risk. A risk index designated as the generating system operating state risk (GSOSR) is defined in this paper as the probability of residing in an undesirable operating state. Technique together with the effect on the GSOSR and the system operating state probabilities of factors such as lead time, system peak load, load forecast uncertainty and generating unit derated states are illustrated by application to the IEEE-RTS (reliability test system)
  • Keywords
    electric power generation; power system control; probability; risk management; IEEE reliability test system; deterministic indices; generating system operating health analysis; generating system operating state risk; generating unit derated states; lead time; load forecast uncertainty; operating reserve requirements; probabilistic indices; probabilistic technique; risk index; system peak load; undesirable operating state; Control systems; Interconnected systems; Load forecasting; Monitoring; Power system analysis computing; Power system restoration; Power system security; Power systems; Stochastic systems; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.336097
  • Filename
    336097