Bad data identification when using ampere measurements

Author

Abur, Ali ; Expósito, Antonio Gómez

Author_Institution

Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA

Volume

12

Issue

2

fYear

1997

fDate

5/1/1997 12:00:00 AM

Firstpage

831

Lastpage

836

Abstract

Earlier papers have shown that the use of power system line current magnitude measurements may lead to nonuniquely observable systems. This paper studies the bad data identification problem under these conditions. The definition of measurement criticality is revised in order to account for the nonuniquely observable cases. The problem of bad data identification is investigated both as a post estimation problem when using the least squares estimation method and as an outlier rejection problem when using the least absolute value estimation method. Modifications to the existing bad data processing methods are proposed in order to account for the current magnitude measurements

Keywords

electric current measurement; least squares approximations; measurement errors; power system analysis computing; power system measurement; power system state estimation; ampere measurement errors; bad data identification; bad data processing methods; computer simulation; least absolute value estimation method; least squares estimation method; measurement criticality; nonuniquely observable cases; outlier rejection problem; post estimation problem; power system line current magnitude measurements; Current measurement; Data processing; Distortion measurement; Electric variables measurement; Lead; Least squares approximation; Observability; Power measurement; Power system measurements; State estimation;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.589708

Filename

589708