Abstract
The numerically stable power system state estimation (PSSE) algorithm uses a Givens rotations based least square (LS) solver. Row and column ordering techniques are used to reduce computations as well fill arising during sparse matrix QR decomposition. Row oriented algorithm is popularly used for QR decomposition in PSSE application with a priori row and column ordering to reduce fills. This paper proposes online variable pivot row and column ordering techniques for sparse QR decomposition, which locally reduce fills during each rotation operation. Use of online ordering techniques requires a shift from row oriented QR decomposition to column oriented QR decomposition. Simulation results on large power systems demonstrate the benefits of the proposed approach in comparison to row oriented QR decomposition.
Published Version
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