摘要
针对目前动态电压恢复器(DVR)多采用根据当前状态做出未来动作的控制方法,从微观上看总会因为采样和反馈信息与控制动作之间存在时间延迟而产生误差的问题,提出一种通过预测下一控制周期的输出从而确定下一控制周期控制动作的闭环结构的模型预测控制(MPC)方法。该方法基于前向欧拉法建立控制预测模型,通过反馈校正的方法减少预测误差,并通过建立合适的目标函数,确定应用于下一控制周期的最佳开关组合。利用MATLAB/Simulink软件搭建所提控制方法的仿真模型,仿真结果表明,提出的MPC方法能有效减少DVR的补偿误差,具有响应速度快、谐波含量低、设计简单等优点。
The Dynamic Voltage Restorer(DVR)is now employing the control method of making future actions according to current states most of the time.Microscopically,errors always occur because of the time delay between samplings,feedback and control actions.Therefore,the paper puts forward a loop-locked Model Predictive Control(MPC)method which determines control actions of the next control cycle by predicting its outputs.The method builds a control predictive model on the basis of euler forward method.It can reduce prediction errors through feedback correction,and determine the optimal switch combination applied for the next control cycle by establishing the appropriate objective function.The simulation model of the proposed control method is established by MATLAB/Simulink,and the results show that the MPC method can effectively reduce the compensation error of DVR,and has the advantages of fast response,low harmonic content and simple design.
作者
高嘉迪
何昊洋
俱世豪
GAO Jia-di;HE Hao-yang;JU Shi-hao(School of Electronic Engineering,Xi'an Shiyou University,Xi'an 710065,China)
出处
《电工电气》
2023年第3期25-29,70,共6页
Electrotechnics Electric
关键词
动态电压恢复器
模型预测控制
反馈校正
最佳开关组合
dynamic voltage restorer
model predictive control
feedback correction
optimal switch combination
