Dynamic state estimator using ANN based bus load prediction

Author

Sinha, A.K. ; Mondal, J.K.

Author_Institution

Dept. of Electr. Eng., Indian Inst. of Technol., Kharagpur, India

Volume

14

Issue

4

fYear

1999

fDate

11/1/1999 12:00:00 AM

Firstpage

1219

Lastpage

1225

Abstract

This paper presents an algorithm for dynamic state estimation of a power systems. The method uses ANN based bus load prediction for the prediction step in the DSE. The proposed DSE uses rectangular coordinate formulation for measurement equations. A second order dynamic state estimator which incorporates the full nonlinearities of the measurement function is used for the filtering step. The inclusion of nonlinearities makes the proposed state estimator perform better in case of sudden large changes in load/generation

Keywords

load forecasting; neural nets; power system analysis computing; power system state estimation; ANN based bus load prediction; dynamic state estimator; filtering; measurement equations; measurement function nonlinearities; rectangular coordinate formulation; second order dynamic state estimator; sudden large generation changes; sudden large load changes; Artificial neural networks; Coordinate measuring machines; Equations; Heuristic algorithms; Nonlinear dynamical systems; Power system dynamics; Power system measurements; Power system modeling; Predictive models; State estimation;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.801876

Filename

801876