%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