DocumentCode
1719515
Title
Hybrid Method for Calculating the Maximum Loading Point using Continuation Load Flow and Nonlinear Programming Techniques
Author
Bedriñana, Manfred ; Bedoya, Duvier ; Castro, Carlos A.
Author_Institution
Power Syst. Dept., Univ. of Campinas, Campinas
fYear
2007
Firstpage
1929
Lastpage
1934
Abstract
The computation of the maximum loading point (MLP) is crucial to power systems operation and control, There are several methodologies proposed to compute it. The continuation load flow (CLF) is very robust, widely known to draw PV curves, and can be also used for computing the MLP. However it has some drawbacks, the procedure may diverge for some cases and it is very conservative for some networks, taking many iterations. Other efficient technique using nonlinear programming (NLP) has been proposed recently. This method presents clear advantages due to the orientation of the process in direction to the MLP. This paper presents a method based on the CLF and NLP. The idea is to compute the MLP taking some features of the CLF combined with characteristics of NLP. With this combination the MLP can be evaluated with more accuracy and efficiency. Simulations for different systems including IEEE test systems are shown to evaluate the performance of the method. Some comparisons of the methodologies are also shown.
Keywords
load flow; nonlinear programming; power system control; power system security; power system stability; continuation load flow; maximum loading point; nonlinear programming techniques; power system security; power systems control; power systems operation; Control systems; Load flow; Power system control; Power system interconnection; Power system security; Power system simulation; Power system stability; Power systems; Robustness; System testing; Power system security; maximum loading point; nonlinear programming; voltage stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Tech, 2007 IEEE Lausanne
Conference_Location
Lausanne
Print_ISBN
978-1-4244-2189-3
Electronic_ISBN
978-1-4244-2190-9
Type
conf
DOI
10.1109/PCT.2007.4538612
Filename
4538612
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