级联H桥SVG的无差拍控制
发布时间：2018-07-22 21:25
【摘要】：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。
[Abstract]:In order to improve the dynamic performance and tracking accuracy of cascaded H-bridge static Var Generator (SVG), an improved beat control method is proposed. Firstly, the mathematical model and discrete state equation of cascaded H bridge in dq coordinate system are established, and then a new state observer is designed to observe the current and voltage based on the traditional deadbeat control algorithm. Based on the conventional discrete state observer, the intermediate variables are calculated in advance, and the next instruction current is predicted in advance, thus reducing the control delay. An improved repetitive prediction algorithm is used to estimate the output voltage to improve the precision of voltage tracking. Finally, the MATLAB simulation model of cascaded H bridge SVG and the 10 kV system test prototype are built, and the simulation results are compared with the conventional state observer algorithm. The results show that, compared with the conventional state observer, The total harmonic distortion (THD) value obtained by using the improved deadbeat control algorithm is reduced from 3.21% to 1.18%. This algorithm can effectively improve the tracking accuracy and dynamic response speed of the system. The depth eliminates the tracking delay caused by the sampling delay and improves the reactive power compensation performance of the system effectively.
【作者单位】： 哈尔滨工业大学电气工程系;黑龙江科技大学电气与控制工程学院;
【基金】：国家自然科学基金重点项目(51237002);国家自然科学基金青年基金(51407043) 哈尔滨科技创新人才研究专项资金青年后备人才项目(2016RAQXJ035) 台达电力电子科教发展计划重大项目(DREM2012001);台达电力电子科教发展计划项目(DREG2014015)~~
【分类号】：TM761
[Abstract]:In order to improve the dynamic performance and tracking accuracy of cascaded H-bridge static Var Generator (SVG), an improved beat control method is proposed. Firstly, the mathematical model and discrete state equation of cascaded H bridge in dq coordinate system are established, and then a new state observer is designed to observe the current and voltage based on the traditional deadbeat control algorithm. Based on the conventional discrete state observer, the intermediate variables are calculated in advance, and the next instruction current is predicted in advance, thus reducing the control delay. An improved repetitive prediction algorithm is used to estimate the output voltage to improve the precision of voltage tracking. Finally, the MATLAB simulation model of cascaded H bridge SVG and the 10 kV system test prototype are built, and the simulation results are compared with the conventional state observer algorithm. The results show that, compared with the conventional state observer, The total harmonic distortion (THD) value obtained by using the improved deadbeat control algorithm is reduced from 3.21% to 1.18%. This algorithm can effectively improve the tracking accuracy and dynamic response speed of the system. The depth eliminates the tracking delay caused by the sampling delay and improves the reactive power compensation performance of the system effectively.
【作者单位】： 哈尔滨工业大学电气工程系;黑龙江科技大学电气与控制工程学院;
【基金】：国家自然科学基金重点项目(51237002);国家自然科学基金青年基金(51407043) 哈尔滨科技创新人才研究专项资金青年后备人才项目(2016RAQXJ035) 台达电力电子科教发展计划重大项目(DREM2012001);台达电力电子科教发展计划项目(DREG2014015)~~
【分类号】：TM761
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