• DocumentCode
    1503450
  • Title

    Capacity reserve assessment using system well-being analysis

  • Author

    Billinton, Roy ; Karki, Rajesh

  • Author_Institution
    Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask., Canada
  • Volume
    14
  • Issue
    2
  • fYear
    1999
  • fDate
    5/1/1999 12:00:00 AM
  • Firstpage
    433
  • Lastpage
    438
  • Abstract
    Deterministic methods are widely used in operating reserve assessment and in small isolated power system capacity planning. These approaches do not normally include any explicit recognition of system risk and do not provide comparable risks for systems of different size or composition. Many large power systems, therefore, use probabilistic methods for generation adequacy evaluation. The reluctance to utilize the existing probabilistic techniques in both large and small systems dictates a need to create a bridge between the two different approaches. This paper presents a new probabilistic method designated as `system well-being analysis´, which incorporates the accepted deterministic criteria in the definition of `healthy´ and `marginal´ power system states. This paper illustrates methodologies to evaluate the system well-being indices of practical systems and describes how they can be used in the assessment of power system capacity reserves
  • Keywords
    deterministic algorithms; power system planning; power system reliability; probability; capacity planning; deterministic criteria; generation adequacy evaluation; power system capacity reserves assessment; probabilistic methods; system well-being analysis; Bridges; Capacity planning; Chromium; Design methodology; Engines; Power system analysis computing; Power system economics; Power system planning; Power systems; Risk analysis;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.761861
  • Filename
    761861