DocumentCode
2635042
Title
An sequential linear programming algorithm for security-constrained optimal power flow
Author
Tao, Ye ; MelioPoulos, A. P Sakis
Author_Institution
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear
2009
fDate
4-6 Oct. 2009
Firstpage
1
Lastpage
6
Abstract
This paper describes a new formulation of the security-constrained optimal power flow (SCOPF) problem and proposes a sequential linear programming algorithm for its solution. The new formulation introduces mismatch variables to ensure that the algorithm remains in the feasible region. Thus the algorithm starts from an arbitrary state: mismatch currents are computed and introduced at each bus to make the present iterate appear in a feasible region. The algorithm moves the solution towards the optimal while minimizes the mismatch variables. When the mismatch variables are zeroed, the optimal has been found. At each iteration, the problem is formulated as a nonlinear optimization problem with linear or quadratic equations via a quadratization procedure presented in earlier papers. The formulation and algorithm is demonstrated on a three-bus system.
Keywords
Constraint optimization; Filtering; Iterative algorithms; Large-scale systems; Linear programming; Load flow; Optimization methods; Paper technology; Power engineering and energy; Power engineering computing; Quadratized power flow; Security-constrained optimal power flow; Sequential linear programming;
fLanguage
English
Publisher
ieee
Conference_Titel
North American Power Symposium (NAPS), 2009
Conference_Location
Starkville, MS, USA
Print_ISBN
978-1-4244-4428-1
Electronic_ISBN
978-1-4244-4429-8
Type
conf
DOI
10.1109/NAPS.2009.5484047
Filename
5484047
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