MMC简化有限集快速模型预测控制

Reduced Finite Set Fast Model Predictive Control for MMC

模块化多电平换流器(MMC)作为中高压大功率电能传输领域核心环节,其控制性能是衡量系统品质重要指标。为解决矢量控制与现代控制理论应用于复杂多电平换流器中时存在的动态性能差,控制器参数鲁棒性弱,可实现度低的问题,提出一种简化有限集快速模型预测控制(RFS-FMPC)策略。建立系统离散域数学模型,以MMC输出电压等级为变量,对系统未来状态进行预测,重构目标方程,在线优化并拾取最优子模块投切状态,以满足系统的多约束、多目标、并行优化的控制需求。最后实验验证了所提控制方法的可行性和有效性。

Modular multi-level converter（MMC） plays a key role in the field of medium-high voltage power transmis- sion.Its controller＇s performance is an important indicator to measure the quality of the system.Reduced finite set （RFS）-fast model predictive control（FMPC） strategy is proposed to solve the problems of the weakness of the dynamic performance, robustness of the controller＇s parameters and the realization when the vector control and the modem control theory are applicated in complex multi-level converters.To satisfied the system requirement of multi-constrains, multi-targets and parallel optimizations, MMC＇s output voltage level as its argument, the math models are built to pre- dict its future state, rebuild target functions ,optimize and pick the best switching states online.Lastly, experimental result proves the feasibility and effectiveness of the proposed method.