DocumentCode
1381073
Title
Efficient Secure AC OPF for Network Generation Capacity Assessment
Author
Dent, Chris J. ; Ochoa, Luis F. ; Harrison, Gareth P. ; Bialek, Janusz W.
Author_Institution
Sch. of Eng. & Comput. Sci., Durham Univ., Durham, UK
Volume
25
Issue
1
fYear
2010
Firstpage
575
Lastpage
583
Abstract
This paper presents a novel method for determining the capacity of a network to accommodate new generation under network security constraints. The assessment is performed by maximizing the total generation capacity in an optimal power flow model; this is solved by gradually adding limited numbers of line outage contingencies, until a solution to the complete problem is obtained. The limit on the number of contingencies added is key to the method´s efficiency, as it reduces the size of the optimization problems encountered. Moreover, varying this limit on contingencies added provides a simple and highly efficient means of searching for multiple local optima of the nonlinear optimization problem. The method has been tested on a modified version of the highly meshed IEEE Reliability Test System with N-1 security, where a significant reduction in the system´s capacity for new generation is seen when security constraints are imposed. The method is generic and may be applied at any voltage level, for other security models and for other similarly structured problems such as the analysis of multiple resource availability scenarios.
Keywords
load flow; optimisation; power generation planning; power generation reliability; power system security; IEEE reliability test system; multiple resource availability scenarios; network generation capacity assessment; network security constraints; nonlinear optimization problem; optimal power flow model; total generation capacity; Load flow analysis; optimization methods; power generation planning;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2009.2036809
Filename
5378654
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