电力系统保护与控制2023，Vol.51Issue(23)：26-36,11.DOI:10.19783/j.cnki.pspc.230454
基于多变量校正的MMC快速有限集模型预测控制策略
Finite control set model predictive control strategy for an MMC based on multi-variable fast adjusting
摘要
Abstract
Finite control set model predictive control(FCS-MPC)is widely used in modular multilevel converters(MMC)because of its ability to achieve multi-objective control.As the number of submodules increases,model predictive control(MPC)faces exponential computational growth,high computational complexity,and difficulty in integrating the weighting factors.To solve the above problems,a multi-variate adjusting set model predictive control(MAS-MPC)method is proposed.This method performs a fast correction of the submodule control set by output current and arm voltage difference,and evaluates two cost functions to obtain the optimal switching vectors.In addition,a capacitor voltage balance algorithm based on differentiated medium term is proposed.This can effectively reduce the complexity of the sorting algorithm.To verify effectiveness,a three-phase MMC system with 10 voltage levels is built based on Matlab/Simulink,and compared with the traditional strategy.The proposed strategy drastically reduces the computational effort of the system while reducing the harmonic content of the output current and the circulating current.A system with faster dynamic response is achieved.关键词
有限集模型预测控制/多变量校正/最近电平调制/快速动态响应Key words
FCS-MPC/multi-variate adjusting/nearest level control(NLC)/fast dynamic response引用本文复制引用
冯海博,杨兴武,刘海波,徐常天,孟致丞,季亮..基于多变量校正的MMC快速有限集模型预测控制策略[J].电力系统保护与控制,2023,51(23):26-36,11.基金项目
This work is supported by the National Natural Science Foundation of China(No.52177184).国家自然科学基金项目资助(52177184) （No.52177184）
上海市科技计划项目资助(23010501200) （23010501200）
