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
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