摘要
分析了电网侧逆变器基本工作原理,在此基础上提出了一种改进的电压定向控制与基于神经网络自整定PI控制相结合的逆变器控制新算法,来控制注入电网的能量,减小逆变器电压电流谐波成分,提高电能质量。且充分利用神经网络的快速并行处理能力、学习能力,缩短了计算时间,进而减低了由控制延时引起的谐波成分。最后在MATLAB/Simulink环境下结合NN工具箱建立了仿真模型,在变速恒频风力发电系统中进行了仿真研究,仿真结果证明了改进的电压定向控制与基于人工神经网络自整定PI控制相结合的逆变器控制新算法的可行性。
The basic working principle was analyzed,and a control method was introduced to control the energy injected into the grid and reduce the harmonic components of the voltage and the current,which was the combination of improved voltage control method and PI control method based on NN control.With the fast parallel processing capability and study capability,the computing time was reduced.The harmonic components caused by the delay of the control were reduced.The simulation model was built in MATLAB/Simulink environment with the NN toolbox and the simulation was studied in the variable speed constant frequency wind power system.The results prove that the new method is feasible.
出处
《微特电机》
北大核心
2012年第4期58-61,64,共5页
Small & Special Electrical Machines
基金
国家自然科学基金项目(61174032)
教育部新世纪优秀人才支持计划(NCET-10-0437)
