Title :
Double-mode modulation based on limited trajectories for ANN-SVPWM in PV grid-connected inverter
Author :
Wang, GenPing ; Yi LingZhi ; He, SuFeng ; Zhang, Biao ; Yao, Zhezhi ; Wang, Binu
Author_Institution :
Dept. of Mech. & Electr., Shenzhen Polytech., Shenzhen, China
Abstract :
To improve the un-linearity of three -phase PV grid-connected inverter, a new SVPWM controller based on ANN is presented firstly, so the high voltage utilization ratio can be got. By using Double-mode modulation based on limited trajectories secondly, the PV grid-connected inverter can be operated very well in over-modulation mode as well as in under-modulation mode. Lastly, the simulation model of three -phase PV grid-connected inverter based on ANN-SVPWM has been built, the results show that ANN-SVPWM in Double-mode modulation based on limit trajectories during over-modulation period can get features simplicity, high efficiency and excellent control effects.
Keywords :
PWM invertors; neural nets; power grids; power system control; ANN-SVPWM; PV grid-connected inverter; double-mode modulation; high voltage utilization ratio; Artificial neural networks; Continuous phase modulation; Helium; Photovoltaic systems; Power harmonic filters; Pulse inverters; Pulse width modulation inverters; Solar power generation; Space vector pulse width modulation; Voltage control; ANN-SVPWM; Double-mode modulation based on limit trajectories; PV grid-connected inverter; over-modulation mode; under-modulation mode;
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
DOI :
10.1109/CCDC.2010.5498367
