DocumentCode
1163667
Title
A Sparse Variable Metric Optimization Method Applied to the Solution of Power System Problems
Author
Housos, E.C. ; Irisarri, G.D.
Author_Institution
AMERICAN ELECTRIC POWER SERVICE CORPORATION
Issue
1
fYear
1982
Firstpage
195
Lastpage
202
Abstract
The sparse form of one of the most successful Variable Metric Methods (BFGS [1, 2]) is used to solve power system optimization problems. The main characteristic of the method is that the sparse factors of the Hessian matrix are used as opposed to a full inverse Hessian. In addition, these factors are updated at every BFGS iteration using a fast and robust sparsity oriented updating algorithm.
Keywords
Constraint optimization; Convergence; Load flow; Optimization methods; Power system security; Power systems; Robustness; Sparse matrices; State estimation; System testing;
fLanguage
English
Journal_Title
Power Apparatus and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9510
Type
jour
DOI
10.1109/TPAS.1982.317338
Filename
4111157
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