Identification of multiple interacting bad data via power system decomposition

Author

Cheniae, M.G. ; Mili, L. ; Rousseeuw, J.

Author_Institution

Bradley Dept. of Electr. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA

Volume

11

Issue

3

fYear

1996

fDate

8/1/1996 12:00:00 AM

Firstpage

1555

Lastpage

1563

Abstract

This paper presents a new, highly robust bad data identification algorithm for electric power system state estimation. A system decomposition scheme is coupled with the least median of squares estimator to allow identification of multiple interacting bad data even in cases of conforming errors. The algorithm is inherently resistant to bad measurements in positions of leverage, makes no a priori measurement error probability distribution assumptions, and is applicable in a real-time environment

Keywords

least mean squares methods; numerical stability; power system analysis computing; power system state estimation; real-time systems; IEEE 14-bus test system; computer simulation; conforming errors; least median of squares estimator; multiple interacting bad data; power system state estimation; real-time environment; robust bad data identification algorithm; system decomposition scheme; Fluid flow measurement; Laplace equations; Least squares approximation; Measurement errors; Position measurement; Power system measurements; Power system reliability; Power systems; Robustness; State estimation;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.535697

Filename

535697