State estimation in power engineering using the Huber robust regression technique

Author

Kyriakides, Elias ; Suryanarayanan, Siddharth ; Heydt, GeraldT

Author_Institution

Univ. of Cyprus, Nicosia, Cyprus

Volume

20

Issue

2

fYear

2005

fDate

5/1/2005 12:00:00 AM

Firstpage

1183

Lastpage

1184

Abstract

The least-squares method has been used extensively for state estimation in electric power engineering. However, this method is not always suitable when the process matrix is characterized by structural defects. This letter demonstrates the Huber function technique in a power engineering application. This technique is a slight departure from the least-squares method and downweighs large residuals. A statistical test to identify possible structural imperfections in the model is introduced.

Keywords

least squares approximations; power system state estimation; regression analysis; Huber function technique; Huber robust regression technique; electric power engineering; least-squares method; power engineering state estimation; Least squares approximation; Parameter estimation; Power engineering; Power engineering and energy; Power system modeling; Robustness; State estimation; Synchronous generators; Testing; Vectors; Huber; least squares; multicollinearity; rank; robust estimation; state estimation; synchronous generators;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/TPWRS.2005.846157

Filename

1425621