Title :
Single phase sinusoidal wave inverter based on BP neural network for small wind power system
Author :
Qi Zhiyuan ; Wang Jingming ; Yu Guochen
Author_Institution :
Coll. of Electron. Inf. Eng., Inner Mongolia Univ., Hohhot, China
Abstract :
In order to improve the waveform quality and reduce the harmonics of inverter for small wind power system (SWPS), a single phase sinusoidal inverter with high-frequency link is proposed in this paper. Two BP neural network (BPNN) controllers are designed to control the proposed inverter. One BPNN control the indirect DC/DC converter part to obtain stable DC voltage, and the other BPNN control the latter inverter part to achieve the output voltage with sinusoidal wave. A simulation studies based on Matlab is done. The result shows that the designed inverter with the BPNN controller can produce good quality of sinusoidal waveforms and have low total harmonic distortion. So the designed single phase sinusoidal inverter for SWPS can satisfy the performance requirement of high conversion efficiency and stability.
Keywords :
DC-DC power convertors; backpropagation; harmonic distortion; invertors; neural nets; wind power plants; BP neural network controllers; DC/DC converter; Matlab; high-frequency link; single phase sinusoidal wave inverter; small wind power system; total harmonic distortion; Integrated circuit modeling; Inverters; Mathematical model; Neural networks; Neurons; Training; Voltage control; BP neural network; sinusoidal wave inverter; small wind power;
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2014 IEEE 7th Joint International
Print_ISBN :
978-1-4799-4420-0
DOI :
10.1109/ITAIC.2014.7065009
