DocumentCode
1295965
Title
Bilinear Power System State Estimation
Author
Gómez-Expósito, Antonio ; Gómez-Quiles, Catalina ; de la Villa Jaen, Antonio
Author_Institution
Dept. of Electr. Eng., Univ. of Seville, Seville, Spain
Volume
27
Issue
1
fYear
2012
Firstpage
493
Lastpage
501
Abstract
This paper presents a three-stage state estimation methodology based on the sequential solution of two weighted least squares (WLS) linear problems with a nonlinear explicit transformation in between. This requires that appropriate sets of auxiliary variables be introduced so that the resulting measurement models become linear. Simulation results show that the proposed approach yields, in a non-iterative manner, virtually the same solution as that provided by the Gauss-Newton iterative scheme arising in the conventional WLS method.
Keywords
Newton method; least squares approximations; power system state estimation; Gauss-Newton iterative scheme; WLS linear problem; auxiliary variables set; bilinear power system state estimation; linear measurement model; noniterative manner; nonlinear explicit transformation; three-stage state estimation methodology; weighted least square linear problem; Covariance matrix; Jacobian matrices; Power measurement; Redundancy; Sparse matrices; State estimation; Vectors; Factorized state estimation; linear weighted least squares (WLS); measurement prefiltering;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2011.2162256
Filename
5982114
Link To Document