• DocumentCode
    1429102
  • Title

    Probabilistic analysis of power flows

  • Author

    Allan, R.N. ; Borkowska, B. ; Grigg, C.H.

  • Author_Institution
    UMIST, Department of Electrical Engineering & Electronics, Manchester, UK
  • Volume
    121
  • Issue
    12
  • fYear
    1974
  • fDate
    12/1/1974 12:00:00 AM
  • Firstpage
    1551
  • Lastpage
    1556
  • Abstract
    The paper describes and examines a technique which permits the power-flow problem in a power system to be analysed probabilistically instead of using normal deterministic methods. All the nodal loads and generation are defined as random variables and the power flow in each line is computed in terms of a probability density function. The expected values and standard deviation of each power flow are also calculated, and, in addition, the overall balance of power in the system is determined in terms of a density function. The purpose of this analysis is to account for the errors and statistical variations known to exist in the operation and planning of systems within one solution. This enables the power-flow problem to be treated objectively and allows quantitative assessment of reliability and security. The paper compares the results obtained probabilistically with those that would be obtained deterministically, and shows the much wider range of information gained in this type of analysis.
  • Keywords
    circuit reliability; power systems; probability; errors; operation; planning; power flows; power system; probabilistic analysis; quantitative assessment of reliability; security; statistical variations;
  • fLanguage
    English
  • Journal_Title
    Electrical Engineers, Proceedings of the Institution of
  • Publisher
    iet
  • ISSN
    0020-3270
  • Type

    jour

  • DOI
    10.1049/piee.1974.0320
  • Filename
    5250878