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
Link To Document :
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