%0 Journal Article
	%A  A. Thabet and  M. Boutayeb and  M. N. Abdelkrim
	%D 2013
	%J International Journal of Electrical and Computer Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 74, 2013
	%T On the Modeling and State Estimation for Dynamic Power System
	%U https://publications.waset.org/pdf/9996931
	%V 74
	%X 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 system model using decoupled techniques will be proposed. The estimation technique consists of 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 IEEE 13 buses test system.

	%P 248 - 257