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On the state estimation for Dynamic Power System

by A. Thabet, M. Boutayeb, M.n. Abdelkrim
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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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Power System Dynamics State Estimation Extended Kalman Filter Convergence Analysis

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