Dynamic State Estimation of a Synchronous Machine Applying the Extended Kalman Filter Technique

Abstract:

The purpose of this work is to implement a dynamic state estimator (DSE) of a synchronous machine by applying the extended Kalman filter (EKF). This work is focused on the synchronous generator because it constitutes a fundamental component of the Electric Power Systems. The dynamic behavior of the generator in an electric grid is simulated in Matlab using the One Machine-Infinite Bus System (OMIB). On the other hand, two standard dynamic models of the synchronous generator are used to develop the dynamic state estimator: the Two-Axis fourth order model and the sixth order GENROU model. The EKF estimation algorithm is applied to this two dynamic models in order to design the estimator block, and the filter’s parameters are tuned by simulating the ensemble “OMIB System-Estimator”. Finally, the performance of the developed state estimators is evaluated and compared.

Año de publicación:

2020

Keywords:

• Kalman filter
• synchronous generator
• Dynamic state estimation

Fuente:

scopus