DocumentCode :
2456090
Title :
DC voltage sensorless control strategy for three-phase grid-connected inverter
Author :
Wang, Zitao ; Chang, Liuchen ; Mao, Meiqin
Author_Institution :
Dept. of Elec. & Comp. Eng., Univ. of New Brunswick, Fredericton, NB
fYear :
2008
fDate :
15-19 June 2008
Firstpage :
323
Lastpage :
329
Abstract :
For a small distributed generation (DG) system, low price, high performance, and high reliability are three important factors required to make the system marketable. In this paper, to acquire a cost-effective DG system, a comprehensive control scheme with a proportional-integral (PI) current controller, a predictive algorithm, and real-time sampling techniques is presented to control a three-phase grid-connected inverter for a DG system. Based on the predictive and real-time sampling schemes, the required output voltage vector of the inverter can be accurately predicted by measuring the grid voltage and the inverter output current. The current PI controller is used creatively to obtain the DC voltage (Vdc) information without any Vdc sensors. Test results show the output current of the inverter is of high quality by this DC voltage-sensorless technique.
Keywords :
PI control; electric current control; invertors; power grids; predictive control; voltage control; DC voltage sensorless control strategy; output voltage vector; predictive algorithm; proportional-integral current controller; real-time sampling techniques; three-phase grid-connected inverter; Control systems; Distributed control; Inverters; Pi control; Prediction algorithms; Proportional control; Real time systems; Sampling methods; Sensorless control; Voltage; Distributed Generation; predictive control; three-phase inverter; voltage-sensorless control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics Specialists Conference, 2008. PESC 2008. IEEE
Conference_Location :
Rhodes
ISSN :
0275-9306
Print_ISBN :
978-1-4244-1667-7
Electronic_ISBN :
0275-9306
Type :
conf
DOI :
10.1109/PESC.2008.4591949
Filename :
4591949
Link To Document :
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