• DocumentCode
    3089941
  • Title

    Determination of Substation Models for Composite System Reliability Evaluation

  • Author

    Sidiropoulos, Michael

  • Author_Institution
    Manitoba, Hydro, British Columbia Hydro, PacifiCorp
  • fYear
    2007
  • fDate
    24-28 June 2007
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The reliability performance of transmission system substations is critical for overall system reliability. Failure events at main grid substations can lead to multiple outages with possible cascading consequences and widespread loss of customer load. Considerable knowledge on substation reliability analysis has been gained from the application of primarily analytical methods. The complexity, however, of substation switching operations does not lend itself to pure analytical treatment. Simulation methods are more suitable as the mathematical modeling of the relationship between events and outcomes is not always possible. The paper expands the existing methodology and describes a method to perform reliability evaluation of substation switching arrangements based on the sequential Monte Carlo simulation. The method is applied in the reliability analysis and comparison of the most commonly used substation switching configurations. The paper shows how the results of the analysis can be applied to model substations in a composite system reliability evaluation.
  • Keywords
    Monte Carlo methods; power transmission reliability; substations; composite system reliability evaluation; failure events; sequential Monte Carlo simulation; substation models; substation switching; transmission system substation reliability; Analytical models; Circuit simulation; Costs; Interconnected systems; Performance analysis; Performance evaluation; Power system faults; Power system protection; Power system reliability; Substations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2007. IEEE
  • Conference_Location
    Tampa, FL
  • ISSN
    1932-5517
  • Print_ISBN
    1-4244-1296-X
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2007.385621
  • Filename
    4275230