• DocumentCode
    879061
  • Title

    Interval arithmetic in power flow analysis

  • Author

    Wang, Zian ; Alvarado, Fernando L.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
  • Volume
    7
  • Issue
    3
  • fYear
    1992
  • fDate
    8/1/1992 12:00:00 AM
  • Firstpage
    1341
  • Lastpage
    1349
  • Abstract
    The authors describe a method for taking uncertainty into account during power flow solutions with uncertain input data. The method is based on interval arithmetic which takes into consideration the uncertainty of the nodal information, and is able to provide strict bounds for the solutions to the problem: all possible solutions are included within the bounds given by interval arithmetic. Results are compared with those obtainable by Monte Carlo simulations and by the use of stochastic power flows. Object-oriented programming techniques make it possible to use interval arithmetic with minimal modifications to existing software. However, to reduce the conservatism inherent in all interval arithmetic computations, an iterative method used to obtain the hull of the solution set is described
  • Keywords
    load flow; object-oriented programming; power engineering computing; Monte Carlo simulations; interval arithmetic; nodal information; object oriented programming; power flow analysis; stochastic power flows; uncertain input data; Arithmetic; Load flow; Load flow analysis; Monte Carlo methods; Nonlinear equations; Object oriented modeling; Power system modeling; Probability distribution; Stochastic processes; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.207353
  • Filename
    207353