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级联H桥SVG的无差拍控制

时间:2017-9-2 14:56:33 点击:

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为了提高级联H桥静止无功发生器(SVG)的动态性能和跟踪精度,提出了一种改进的无差拍控制方法。首先建立了级联H桥在dq坐标系下的数学模型和离散状态方程,然后在传统的无差拍控制算法的基础上分别设计了新的状态观测器对电流和电压进行观测。在常规离散状态观测器的基础上,预先计算设置的中间变量,提前预测下一拍指令电流,从而减小控制延时。并采用了改进的重复预测算法预估输出电压以提高电压跟踪精度。最后,搭建了级联H桥SVG的MATLAB仿真模型和10 k V等级的系统试验样机,并与常规状态观测器算法进行了对比仿真实验。结果表明:与常规状态观测器相比,采用所提出的改进无差拍控制算法得到的电网电流总谐波失真(THD)数值从3.21%减小到1.18%;该算法在有效提高系统的跟踪精度和动态响应速度的同时,深度消除了采样延时所带来的跟踪滞后问题,有效提高系统的无功补偿性能。In order to improve the dynamic performance and tracking accuracy of cascaded H-bridge static reactive power generator (SVG), an improved faultless beat control method is proposed. Firstly, the mathematic model and the discrete state equation of the cascaded H-bridge in the dq coordinate system are established. Then, a new state observer is designed on the basis of the traditional no-beat control algorithm to observe the current and voltage respectively. On the basis of the conventional discrete state observer, the set intermediate variable is calculated in advance to predict the next beat current in advance, thereby reducing the control delay. And an improved repetitive prediction algorithm is used to estimate the output voltage to improve the voltage tracking accuracy. Finally, a MATLAB simulation model of cascaded H-bridge SVG and a 10 k V-level system prototype are built and compared with the conventional state observer algorithm. The results show that the total harmonic distortion (THD) of the grid current is reduced from 3.21% to 1.18% compared with the conventional state observer. The algorithm improves the tracking of the system effectively Accuracy and dynamic response speed at the same time, the depth of the sampling delay to eliminate the delay caused by the problem, effectively improve the system reactive power compensation performance.

作者:级联H桥SVG的无差拍控制 来源:级联H桥SVG的无差拍控制
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