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
Link To Document :
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