Universidad de Costa Rica

On-line parameter estimation of saturated synchronous machines


Colaboradores:
Ing. Gustavo Valverde Mora, PhD.
Autores:
Gustavo Valverde and Elias Kyriakides and Gerald T Heydt and Vladimir Terzija
Revista:
N/A
Editor:
IEEE
URL:
https://ieeexplore.ieee.org/abstract/document/6039060/

Resumen:

This paper presents a novel method based on the Unscented Kalman Filter (UKF) to estimate the saturated parameters of synchronous machines. The proposed methodology uses voltage and current measurements taken from the stator and the field windings to update the parameters of the synchronous machine during steady state operation. The method also utilizes measurements of the power angle in order to relate the measurements (in abc components) with the voltage equations in the qd0 reference frame. The proposed methodology has been tested and validated for a saturated synchronous machine.

© 2020 Escuela de Ingeniería Eléctrica, Universidad de Costa Rica.