• DocumentCode
    3401283
  • 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
  • fYear
    1991
  • fDate
    7-10 May 1991
  • Firstpage
    156
  • Lastpage
    162
  • Abstract
    Power flow analysis is the fundamental tool for the study of power systems. The data for this problem are subject to uncertainty. Interval arithmetic is used to solve the power flow problem. Interval arithmetic 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 makes 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 is used to obtain the hull of the solution set
  • Keywords
    Monte Carlo methods; digital simulation; iterative methods; load flow; object-oriented programming; power system analysis computing; Monte Carlo simulations; interval arithmetic; iterative method; load flow; nodal information; object-oriented programming; power flow analysis; power system analysis computing; software; uncertainty; Arithmetic; Load flow; Load flow analysis; Monte Carlo methods; Nonlinear equations; Object oriented modeling; Power system modeling; Probability distribution; Stochastic processes; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Industry Computer Application Conference, 1991. Conference Proceedings
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    0-87942-620-9
  • Type

    conf

  • DOI
    10.1109/PICA.1991.160622
  • Filename
    160622