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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