Iteratively reweighted least-squares state estimation through Givens Rotations

Author

Pires, Robson C. ; Costa, Antonio Simões ; Mili, Lamine

Author_Institution

Univ. Fed. de Santa Catarina, Florianapolis, Brazil

Volume

14

Issue

4

fYear

1999

fDate

11/1/1999 12:00:00 AM

Firstpage

1499

Lastpage

1507

Abstract

This paper presents a robust iteratively reweighted least squares (IRLS) method for power system state estimation (PSSE). An orthogonal implementation through Givens Rotations to solve estimators based on nonquadratic criteria is introduced. The nonquadratic criteria are defined based on the robust statistical theory. The weights associated with the measurements include the effects of measurement variances and the location where each measurement is taken. Bad data identification is a byproduct of the proposed method. After bad data identification, no reprocessing is required in order to obtain the correct estimates. The method is validated by using the 14-bus, 30-bus and 118-bus IEEE test systems, in addition to a 340-bus realistic system

Keywords

iterative methods; least squares approximations; power system state estimation; 118-bus IEEE test system; 14-bus IEEE test system; 30-bus IEEE test system; 340-bus realistic system; Givens Rotations; bad data identification; iteratively reweighted least-squares state estimation; nonquadratic criteria; power system state estimation; robust statistical theory; Covariance matrix; Least squares approximation; Performance evaluation; Pollution measurement; Power systems; Robustness; State estimation; Statistics; System testing; USA Councils;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.801941

Filename

801941