DocumentCode :
1617288
Title :
On-line parameter estimation of saturated synchronous machines
Author :
Valverde, Gustavo ; Kyriakides, Elias ; Heydt, Gerald T. ; Terzija, Vladimir
Author_Institution :
Univ. of Manchester, Manchester, UK
fYear :
2011
Firstpage :
1
Lastpage :
6
Abstract :
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.
Keywords :
Kalman filters; electric current measurement; parameter estimation; stators; synchronous machines; voltage measurement; current measurements; on-line parameter estimation; stator; synchronous machines; unscented kalman filter; voltage equations; voltage measurements; windings; Estimation; Mathematical model; Rotors; Stator windings; Synchronous machines; Windings; Unscented Kalman Filter; parameter estimation; saturation; synchronous machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4577-1000-1
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PES.2011.6039060
Filename :
6039060
Link To Document :
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