基于神经网络的电力并网逆变器控制技术研究  

Study on Power Grid-connected Inverter Control Technology Based on BP Neural Network

作　　者：闵武志[1] 韩谷静[1] 

机构地区：[1]武汉纺织大学电子信息工程学院,湖北武汉430073

出　　处：《计算机仿真》2011年第11期271-274,278,共5页Computer Simulation

摘　　要：研究了电流模式控制的电力并网逆变器的PR(proportion resonant)控制策略,针对提高并网供电功率优化逆变换器设计,分析了含LCL滤波器的电流双环控制电力并网逆变器模型。目前采用的比例谐振控制器难以用数字控制器实现的问题,提出了BP神经网络的增量式PR控制技术。在MATLAB平台上,建立数学模型仿真。仿真结果证明,在电流发生突变情况下,采用BP神经网络的电力并网逆变器的增量式PR控制,电流波形具有更好的动态性能与静态性能。对神经网络训练进行仿真,结果表明,并网供电控制取得良好的供电效果,为设计提供了参考依据。Proportion resonant（PR） control technology of power grid-connected inverter of current model control was researched,and the model of power grid-connected inverter of LCL filter of double current circles was analyzed.Aiming at the difficulty of realization with digital controller for new-style PR controller,this paper put forward a incremental PR control technology based on BP neural network.On the MATLAB platform,a mathematical model simulation was built.Simulation experiment confirmed that the output current of gird-connected inverter controlled by incremental PR control technology based on BP neural network had better dynamic and static performance on condition of current mutation.Control results of grid-connected current trained by neural network turned out to be good.

关 键 词：神经网络 并网逆变器 电流控制 比例谐振控制器 

分 类 号：TM743[电气工程—电力系统及自动化]