DocumentCode :
2628178
Title :
Power flow methods for improving convergence
Author :
Lagace, P.J.
Author_Institution :
Ecole de Technol. Super., Montréal, QC, Canada
fYear :
2012
fDate :
25-28 Oct. 2012
Firstpage :
1387
Lastpage :
1392
Abstract :
Power flows are widely used by engineers and remain essential for steady state analysis, short circuit and transient studies on power systems. Robustness of power flow methods is important for facilitating engineering studies on difficult network configurations. This paper presents a review of different techniques for improving the convergence of power flows. The methods under investigation consist essentially in adjusting the Jacobian and the incremental voltage. These adjustments incorporated within the Newton Raphson method are used to obtain a faster rate of convergence, to provide a larger region of convergence or both. Different techniques are first presented from an investigation of various schemes available in the literature. A power flow method consisting of a scaled Levenberg-Marquardt scheme is introduced and its property is compared along with other traditional methods. Comparisons of the region of convergence on a power system consisting of a 3000-bus model are presented.
Keywords :
Jacobian matrices; Newton-Raphson method; load flow; power system simulation; 3000-bus model; Jacobian voltage; Newton Raphson method; improving convergence; incremental voltage; network configurations; power flow methods; scaled Levenberg-Marquardt scheme; short circuit study; steady state analysis; transient study; Convergence; Erbium; Jacobian matrices; Convergence; Hessian; Jacobian; Newton´s Method; Newton-Raphson; Power flow; Scaled Levenberg-Marquardt Method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Montreal, QC
ISSN :
1553-572X
Print_ISBN :
978-1-4673-2419-9
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2012.6388538
Filename :
6388538
Link To Document :
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