Research Article
Real Time Dynamic State Estimation for Power System
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 38 - Issue 2 |
| Published: January 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 },
year = { 2012 },
volume = { 38 },
number = { 2 },
pages = { 11-18 },
doi = { 10.5120/4659-6755 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A A. Thabet
%A M. Boutayeb
%A M.N. Abdelkrim
%T Real Time Dynamic State Estimation for Power System%T
%J International Journal of Computer Applications
%V 38
%N 2
%P 11-18
%R 10.5120/4659-6755
%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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