DocumentCode
2278825
Title
Predictive direct torque and flux control of doubly fed induction generator with switching frequency reduction for wind energy applications
Author
Zhang, Yongchang ; Li, Zhengxi ; Wang, Tianshi ; Hu, Jiefeng ; Zhu, JianGuo
Author_Institution
Inverter Technol. Eng. Res. Center of Beijing, North China Univ. of Technol., Beijing, China
fYear
2011
fDate
20-23 Aug. 2011
Firstpage
1
Lastpage
6
Abstract
A model based predictive torque and flux control (PTFC) is proposed in this paper for doubly fed induction generator (DFIG) applied in wind energy applications. Different from the conventional switching-table-based direct torque control (DTC), which selects the output vector from a switching table, the developed PTFC selects the most suitable vector minimizing the errors of rotor flux and torque based on predictions of their evolutions versus time. Compared to DTC with the same sampling frequency, there are significant reductions in both torque and flux ripples for PTFC with lower switching frequency, while their dynamic performances are similar. Furthermore, by incorporating the frequency reduction in PTFC, the average switching frequency can be reduced up to 38.76% without affecting its performance. The results of PTFC operating at a very low switching frequency of below 550 Hz are presented, validating the capability of PTFC to satisfy the low switching frequency requirement of high power wind energy applications. Simulation results are presented to validate the effectiveness of the proposed PTFC.
Keywords
asynchronous generators; power generation control; torque control; wind power plants; DFIG; PTFC; doubly fed induction generator; flux control; flux ripples; high power wind energy; predictive direct torque control; sampling frequency; switching frequency reduction; switching-table-based direct torque control; torque ripples; wind energy applications; Cost function; Rotors; Stators; Switches; Switching frequency; Torque; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Machines and Systems (ICEMS), 2011 International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4577-1044-5
Type
conf
DOI
10.1109/ICEMS.2011.6073721
Filename
6073721
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