Generalized state estimation

Author

Alsac, O. ; Vempati, N. ; Stott, B. ; Monticelli, A.

Author_Institution

PCA Corp., Meza, AZ, USA

Volume

13

Issue

3

fYear

1998

fDate

8/1/1998 12:00:00 AM

Firstpage

1069

Lastpage

1075

Abstract

Power system state estimation derives a real-time network model by extracting information from a redundant data set consisting of telemetered, predicted and static data items. This paper describes a generalized, fully developed, estimation approach that fundamentally improves the information extraction process. Its main contribution is the successful inclusion of topology and parameters in the estimation and bad data analysis processes. This is valuable both in the initial commissioning of a state estimator, and in its routine real-time and study mode application. The approach involves a variety of novel concepts and methods. It is usable in weighted least squares (WLS) and other estimation approaches

Keywords

least squares approximations; observability; power system state estimation; bad data analysis processes; information extraction process; observability analysis; power system state estimation; predicted data items; real-time network model; redundant data set; routine real-time; state estimator; static data items; study mode application; telemetered data items; topology errors; weighted least squares; Data analysis; Data mining; Jacobian matrices; Network topology; Parameter estimation; Power system modeling; Real time systems; State estimation; Switches; Voltage;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.709101

Filename

709101