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
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;
Journal_Title :
Power Apparatus and Systems, IEEE Transactions on
DOI :
10.1109/TPAS.1982.317338
