模块化多电平变换器快速模型预测控制器设计

Design of Fast Model Predictive Controller for Modular Multilevel Converter

针对模块化多电平变换器(MMC)的传统模型预测控制器计算量大,且难以实际应用的问题,提出了一种结合子模块电压排序算法的快速模型预测控制策略。基于MMC离散数学模型所设计的快速模型预测控制器优化了控制目标实施,并简化了循环优化计算过程,易于应用到具有大量子模块的MMC系统中。新型快速模型预测控制器在保留传统模型预测控制优点的同时,显著降低了计算负担,并可以最小化输出电压的电压变化率。最后,搭建了三相MMC原理样机系统并开展了相关试验,试验结果验证了新型控制策略的有效性。

Aiming at the problem that the traditional model predictive controller for modular multilevel converter(MMC)is computationally intensive and difficult to be applied in practice,a fast model predictive control strategy combining submodule voltage sorting method was proposed.The fast model predictive controller based on the MMC discrete mathematical model optimized the implementation of the control objectives and simplified the rolling optimization,which is easy to apply to MMC systems with a large number of submodules.The new fast model predictive controller significantly reduces the computational burden while preserving the advantages of traditional model predictive control,and can minimize the voltage change rate of the output voltage.Finally,a threephase MMC prototype system was built and several experiments were carried out.The test results verify the effectiveness of the new control strategy.