LANG Jia-hong， MA Zhen-ya， ZHANG Ze，LAN Xiang-long，ZHENG Shi-cheng.Research on SVG Three Vector Predictive Direct Power Control Based on Luenberger Observer[J].Journal of Chongqing Technology and Business University(Natural Science Edition）,2021,38(4):1-9

Research on SVG Three Vector Predictive Direct Power Control Based on Luenberger Observer

DOI：

 作者 单位 郎佳红，马振亚， 张泽，兰向龙， 郑诗程 安徽工业大学 安徽省电力电子与运动控制重点实验室，安徽 马鞍山 243000

传统有限控制集模型预测控制(Finite Control Set Model Predictive Control，FCS-MPC)在一个控制周期输出单一的开关状态，在低采样频率下，控制精度不理想，且不固定的开关频率导致滤波器较难设计；三矢量预测电流控制(Three-vector Model Predictive Current Control，TV-MPCC)提高了控制精度且使开关频率固定；为提高静止无功发生器(Static Var Generator，SVG)的动态响应速度和抗干扰能力，降低网侧输入电流谐波含量，提出了一种基于Luenberger观测器的三矢量预测直接功率控制算法(Three-vector Model Predictive Direct Power Control，TV-MPDPC)；该控制算法的内环采用三矢量预测直接功率控制，比FCS-MPC有更好的控制精度，比TV-MPCC具有更好的动态响应性能；同时，针对该控制策略对参数(特别是对并网电感的参数)依赖性高，提出了采用Luenberger观测器对由参数失配产生的干扰进行补偿，仿真结果验证了该算法的有效性和可行性。

The traditional finite control set model predictive control (FCS-MPC) outputs a single switching state in a control cycle. When the sampling frequency is low， the control accuracy is poor， and the unfixed switching frequency makes it difficult to design the filter. Three vector model predictive current control (TV-MPCC) improves the control accuracy and keeps the switching frequency fixed. In order to improve the dynamic response speed and anti-interference ability of the static var generator (SVG) and reduce the harmonic content of the input current on the network side， a three vector model predictive direct power control (TV-MPDPC) algorithm based on the Luenberger observer is proposed. The inner loop of the control algorithm adopts three vector predictive direct power control， which has better control accuracy than FCS-MPC and better dynamic response performance than TV-MPCC. At the same time， aiming at the high dependence of the control strategy on the parameters， especially on the parameters of the grid connected inductor， the Luenberger observer is proposed to compensate the disturbance caused by the parameter mismatch. The simulation results show that the algorithm is effective and feasible.