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Reseach Article

On the state estimation for Dynamic Power System

by A. Thabet, M. Boutayeb, M.n. Abdelkrim
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 42 - Number 3
Year of Publication: 2012
Authors: A. Thabet, M. Boutayeb, M.n. Abdelkrim
10.5120/5676-7712

A. Thabet, M. Boutayeb, M.n. Abdelkrim . On the state estimation for Dynamic Power System. International Journal of Computer Applications. 42, 3 ( March 2012), 45-52. DOI=10.5120/5676-7712

@article{ 10.5120/5676-7712,
author = { A. Thabet, M. Boutayeb, M.n. Abdelkrim },
title = { On the state estimation for Dynamic Power System },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 42 },
number = { 3 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 45-52 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume42/number3/5676-7712/ },
doi = { 10.5120/5676-7712 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:30:34.381393+05:30
%A A. Thabet
%A M. Boutayeb
%A M.n. Abdelkrim
%T On the state estimation for Dynamic Power System
%J International Journal of Computer Applications
%@ 0975-8887
%V 42
%N 3
%P 45-52
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this contribution we provide a simple and useful state estimation approach for a general class of non linear models that describe dynamic power systems. At first we show, through a small power network, that this class of systems is modeled by non linear differential-algebraic equations that we may always transform to a system of ordinary differential equations. After, we investigate a state estimator based on the EKF technique as well as the local stability analysis. High performances are illustrated through a simulation study applied on 3 and 5 buses test systems.

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Index Terms

Computer Science
Information Sciences

Keywords

Power System Dynamics State Estimation Extended Kalman Filter Convergence Analysis