摘要
建立了Z源逆变器光伏并网系统的小信号模型。利用径向基函数(RBF)神经网络实现电压空间矢量脉宽调制(SVPWM)的方法,使其应用在Z源逆变器中,并在Matlab下结合神经网络工具箱进行了仿真研究。然后将基于RBF-SVPWM的Z源逆变策略用于光伏并网系统。实验验证了该设计的正确性和合理性。
The small-signal modeling of the Z-source inverter photovoltaic grid-connected system is established.A new method for space vector pulse width modulation（SVPWM） based on radial basis function（RBF） neural network is proposed and used for Z-source inverter.It is shown that the new method can be researched through Matlab simulation experiments.And then the Z-source inverter strategy based on RBF-SVPWM neural network is used in photovohaic grid-connected system.The accuracy and feasibility of the design are verified by experiment.
出处
《电力电子技术》
CSCD
北大核心
2013年第2期55-57,共3页
Power Electronics
关键词
光伏并网
空间矢量脉宽调制
径向基函数
神经网络
photovoltaic grid-connected
space vector pulse width modulation
radial basis function
neural network
