Robust dynamic state estimation of power systems based on M-Estimation and realistic modeling of system dynamics

Author

Durgaprasad, G. ; Thakur, S.S.

Author_Institution

Dept. of Syst. Planning, SCECO, Dammam, Saudi Arabia

Volume

13

Issue

4

fYear

1998

fDate

11/1/1998 12:00:00 AM

Firstpage

1331

Lastpage

1336

Abstract

This paper presents a new scheme of dynamic state estimation, utilizing a statistical approach called the M-Estimation to resolve the filtering problem robustly. In the prediction step, realistic treatment of system dynamics based on nodal analysis produces an efficient state prediction method. The proposed Robust Realistic Dynamic State Estimation (RRDSE) has been tested on 5-bus, 14-bus, and 30-bus test systems and the results are presented. The error analysis presented reveals the superiority of the proposed RRDSE particularly when the system measurements are under bad-data condition

Keywords

power system state estimation; 14-bus test systems; 30-bus test system; 5-bus test systems; M-Estimation; Robust Realistic Dynamic State Estimation; bad-data condition; nodal analysis; power systems state estimation; robust dynamic state estimation; system dynamics modeling; Error analysis; Filtering; Particle measurements; Power system analysis computing; Power system dynamics; Power systems; Prediction methods; Robustness; State estimation; System testing;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.736273

Filename

736273