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Reseach Article

Real Time Dynamic State Estimation for Power System

by A. Thabet, M. Boutayeb, M.N. Abdelkrim
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 38 - Number 2
Year of Publication: 2012
Authors: A. Thabet, M. Boutayeb, M.N. Abdelkrim
10.5120/4659-6755

A. Thabet, M. Boutayeb, M.N. Abdelkrim . Real Time Dynamic State Estimation for Power System. International Journal of Computer Applications. 38, 2 ( January 2012), 11-18. DOI=10.5120/4659-6755

@article{ 10.5120/4659-6755,
author = { A. Thabet, M. Boutayeb, M.N. Abdelkrim },
title = { Real Time Dynamic State Estimation for Power System },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 38 },
number = { 2 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 11-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume38/number2/4659-6755/ },
doi = { 10.5120/4659-6755 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:24:30.604505+05:30
%A A. Thabet
%A M. Boutayeb
%A M.N. Abdelkrim
%T Real Time Dynamic State Estimation for Power System
%J International Journal of Computer Applications
%@ 0975-8887
%V 38
%N 2
%P 11-18
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper investigates a method for the state estimation of nonlinear systems described by a class of differential-algebraic equation (DAE) models using the extended Kalman filter. The method involves the use of a transformation from a DAE to ordinary differential equation (ODE). A relevant dynamic power systems model using decoupled techniques will be proposed. The estimation technique consists of a state estimator based on the EKF technique as well as local stability analysis. High performances are illustrated through a real time application on 5 buses test system with DSP device (Dspace DS1104).

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Index Terms

Computer Science
Information Sciences

Keywords

Power system dynamics Extended Kalman Filter convergence analysis Time computing