小型风力发电单相正弦波逆变器仿真研究  

Simulation Research of Single-phase Sine Wave Inverter for Small Wind Power

作　　者：王敬明[1] 齐志远[1] 

机构地区：[1]内蒙古大学电子信息工程学院,呼和浩特010021

出　　处：《控制工程》2016年第5期740-744,共5页Control Engineering of China

基　　金：国家自然科学基金项目(51167010)

摘　　要：为提高小型风力发电系统单相正弦波逆变器的波形质量,提出采用BP神经网络和遗传算法结合的控制方法。通过遗传算法优化BP神经网络的权值和阈值,避免BP神经网络落入局部最优点,使优化后的BP神经网络能够更好地预测输出。在Matlab下建立了模型并进行了仿真研究,结果表明提出的遗传算法优化BP神经网络的方法能够控制逆变器输出较好的波形质量,同时对负载适应能力强,能够满足小型风力发电系统应用的要求。In order to improve the waveform quality of single-phase sine wave inverter for small wind power system, a control method that combines BP neural network with genetic algorithm is proposed in this paper. The genetic algorithm is used to optimize the weights and thresholds of BP neural network to avoid BP neural network falling into the local optimum value, and make the optimized BP neural network can better predict the output. Simulation study is done under Matlab, and the results show that the proposed method can control the inverter to produce better waveform quality as well as the better adaptability to load. So the designed inverter can meet the application request of small wind power system.

关 键 词：小型风力发电 正弦波逆变器 BP神经网络 遗传算法 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TP464[自动化与计算机技术—控制科学与工程]