DocumentCode :
1180193
Title :
A Hybrid State Estimator: Solving Normal Equations By Orthogonal Transformations
Author :
Monticelli, A. ; Murari, C.A.F. ; Wu, Felix F.
Author_Institution :
Department of Electrical Engineering and Computer Sciences and the Electronics Research Laboratories University of California
Issue :
12
fYear :
1985
Firstpage :
3460
Lastpage :
3468
Abstract :
The standard approach to the solution of the weighted least square (WLS) state estimation in power system is the iterative normal equations method. Occasional ill-conditioning has been experienced with this method. Recently alternative solution approaches based on orthogonal transformations have been proposed. Sparsity generally suffers in these methods. In this paper, the network condition which causes ill- conditioning is studied. A hybrid approach which enjoys the same numerical robustness of the orthogonal methods with sparsity close to the standard WLS method is presented. The modification needed to implement the hybrid method on an existing standard WLS state estimation program is quite small.
Keywords :
Hybrid power systems; Iterative methods; Jacobian matrices; Laboratories; Least squares approximation; Nonlinear equations; Power engineering computing; Robustness; Sparse matrices; State estimation;
fLanguage :
English
Journal_Title :
Power Apparatus and Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9510
Type :
jour
DOI :
10.1109/TPAS.1985.318896
Filename :
4113043
Link To Document :
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