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Real Time Dynamic State Estimation for Power System

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 38 - Number 2
Year of Publication: 2012
Authors:
A. Thabet
M. Boutayeb
M.N. Abdelkrim
10.5120/4659-6755

A Thabet, M Boutayeb and M N Abdelkrim. Article: Real Time Dynamic State Estimation for Power System. International Journal of Computer Applications 38(2):11-18, January 2012. Full text available. BibTeX

@article{key:article,
	author = {A. Thabet and M. Boutayeb and M.N. Abdelkrim},
	title = {Article: Real Time Dynamic State Estimation for Power System},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {38},
	number = {2},
	pages = {11-18},
	month = {January},
	note = {Full text available}
}

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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