Title :
Orthogonal sparse vector methods
Author :
Vempati, Narasimham ; Slutsker, Ilya W. ; Tinney, William F.
Author_Institution :
Empros Syst. Int., Minneapolis, MN, USA
fDate :
5/1/1992 12:00:00 AM
Abstract :
The authors discuss orthogonal sparse vector methods for row-oriented Givens rotations, the form of orthogonalization most suitable for power system state estimation. The methods can speed up orthogonal estimation algorithms in several ways. The orthogonal sparse vector theory is described. An incremental formulation of the state estimation problem is presented. The orthogonal fast forward operations and the incremental formulation are integrated to develop an adaptive localization scheme for state estimation. Test results on two networks are presented
Keywords :
power systems; state estimation; adaptive localization scheme; orthogonal fast forward operations; orthogonal sparse vector methods; power system state estimation; row-oriented Givens rotations; Energy management; Filtering; Least squares approximation; Nonlinear equations; Power & Energy Society; Power systems; Sparse matrices; State estimation; Testing; Vectors;
Journal_Title :
Power Systems, IEEE Transactions on
