A decomposed state estimation technique suitable for parallel processor implementation

Author

El-Keib, A.A. ; Nieplocha, J. ; Singh, H. ; Maratukulam, D.J.

Author_Institution

Dept. of Electr. Eng., Alabama Univ., Tuscaloosa, AL, USA

Volume

7

Issue

3

fYear

1992

fDate

8/1/1992 12:00:00 AM

Firstpage

1088

Lastpage

1097

Abstract

The authors present an approach to the linear programming state estimation problem that is suitable for large-scale interconnected power systems. It uses the Dantzig-Wolfe decomposition algorithm. The performance of the method is enhanced by using a multiple column strategy and several other modifications to the original algorithm. Scaling techniques are used to guarantee a reliable solution. Test results on standard test systems are used to illustrate the usefulness of the method and its viability for parallel processor implementation

Keywords

linear programming; parallel processing; power system analysis computing; power system interconnection; state estimation; Dantzig-Wolfe decomposition algorithm; decomposed state estimation; large-scale interconnected power systems; linear programming state estimation; multiple column strategy; parallel processor; scaling techniques; standard test systems; Large-scale systems; Linear programming; Power measurement; Power system measurements; Power system reliability; Power systems; Senior members; State estimation; Student members; System testing;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.207322

Filename

207322