DocumentCode :
2282350
Title :
Improved predictive current control of grid-connected DC-AC converters under unbalanced grid voltage conditions
Author :
Hu, Jiabing ; He, Yikang ; Nian, Heng
Author_Institution :
Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
fYear :
2009
fDate :
20-24 Sept. 2009
Firstpage :
1
Lastpage :
8
Abstract :
This paper proposes an improved predictive current control scheme for grid-connected DC-AC voltage source converters (GC-VSCs) when the grid voltage is unbalanced. The control scheme is based on space vector modulation (SVM) technique and implemented in the stationary reference frame without involving any current-sequential decomposition process. Due to the requirement for controlling the ac terms of both positive and negative sequence components, detailed compensation methods due to the control delay and the finite sampling frequency are analyzed and designed for the proposed predictive current control scheme to improve the control accuracy and to increase the control bandwidth. Experimental results are provided and compared with those of conventional vector control with dual PI current control schemes to demonstrate the effectiveness of the proposed control strategy during steady-state and transient conditions under unbalanced grid voltage conditions.
Keywords :
DC-AC power convertors; electric current control; power grids; predictive control; compensation methods; control bandwidth; control delay; conventional vector control; current-sequential decomposition process; dual PI current control schemes; grid-connected DC-AC converters; predictive current control; space vector modulation technique; stationary reference frame; steady-state condition; transient conditions; unbalanced grid voltage conditions; voltage source converters; Predictive current control; grid-connected; space vector modulation (SVM); unbalance; voltage source converter (VSC);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Conversion Congress and Exposition, 2009. ECCE 2009. IEEE
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-2893-9
Electronic_ISBN :
978-1-4244-2893-9
Type :
conf
DOI :
10.1109/ECCE.2009.5316519
Filename :
5316519
Link To Document :
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