LCL并网逆变器的设计与控制研究
发布时间:2018-05-26 00:50
本文选题:并网逆变器 + LCL滤波器 ; 参考:《华中科技大学》2014年硕士论文
【摘要】:在当今世界能源紧张的形势严峻,可再生能源,如风力发电和太阳能受到越来越多的关注。在最大化程度上将可再生能源(如风能、太阳能、氢燃料电池)转化到公用电网,电力电子变换器的使用是非常重要的。而并网逆变器连接电网时常常使用LCL滤波器来滤除逆变器产生的谐波。 尽管有很多可参考文献有讲解LCL滤波器的设计,然而提出比较系统的设计方法的文章却很少。本文介绍了一种逆变器并网LCL滤波器的设计方法,给出了元件参数设计的约束条件和系统的参数设计流程。该方法可以根据逆变器额定额定参数来设计匹配的LCL并网滤波器。 在LCL滤波器参数设计完成的基础上,,接下来便对已经构建好的并网逆变器数学模型设计控制器的结构与参数。对单相逆变器采用双闭环控制,内环设计时对比不同反馈参数的阻尼改良情况,选取电容电流为内环反馈变量;外环的控制器设计时,使用典型Ⅱ型系统参数整定法设计控制器参数,对比比例积分PI、比例谐振PR、比例谐振+谐波补偿PR+HC三种控制器优劣,并通过simulink仿真得出了并网电流波形。三相并网逆变器同样以电容电流内环反馈参数、并网电流为外环反馈参数的双环结构,分别构建了在αβ轴下的PR控制、dq轴下的PI控制,并对两种不同坐标系下的控制器控制方程进行对比,分析两者间的联系和差异。最后电网电压波形畸变情况下,对比αβ轴的PR+HC控制与前两者间的仿真波形,说明谐波补偿器HC对指定谐波信号的干扰具有较强的抑制作用。
[Abstract]:In today's world, renewable energy, such as wind power and solar energy, is getting more and more attention. In order to maximize the conversion of renewable energy (such as wind, solar, hydrogen fuel cells) to the public grid, the use of power electronic converters is very important. The grid-connected inverter often uses LCL filter to filter the harmonics generated by the inverter. Although there are many references to explain the design of LCL filters, there are few articles about the more systematic design methods. In this paper, a design method of grid-connected LCL filter for inverter is introduced. The constraint conditions of component parameter design and the design flow of system parameters are given. This method can design matched LCL grid-connected filter according to the rated parameters of the inverter. Based on the completion of LCL filter parameter design, the structure and parameters of the controller are designed for the mathematical model of grid-connected inverter. The single-phase inverter is controlled by double closed loop, and the damping improvement of different feedback parameters is compared when the inner loop is designed, the capacitive current is selected as the feedback variable of the inner loop, and the controller of the outer loop is designed, The controller parameters are designed by using the parameter tuning method of typical type 鈪
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