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Indirect Finite Control Set Model Predictive Control of Modular Multilevel Converters

机译:模块化多电平转换器的间接有限控制集模型预测控制

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摘要

The modular multilevel converter (MMC) is a potentialcandidate for medium/high-power applications, specificallyfor high-voltage direct current transmission systems. One ofthe main challenges in the control of an MMC is to eliminate/minimize the circulating currents while the capacitor voltagesare maintained balanced. This paper proposes a controlstrategy for the MMC using finite control set model predictivecontrol (FCS-MPC). A bilinear mathematical model of the MMCis derived and discretized to predict the states of the MMC onestep ahead. Within each switching cycle, the best switching stateof the MMC is selected based on evaluation and minimization ofa defined cost function. The defined cost function is aimed at theelimination of the MMC circulating currents, regulating the armvoltages, and controlling the ac-side currents. To reduce the calculationburden of the MPC, the submodule (SM) capacitor voltagebalancing controller based on the conventional sorting method iscombined with the proposed FCS-MPC strategy. The proposedFCS-MPC strategy determines the number of inserted/bypassedSMs within each arm of the MMC while the sorting algorithm isused to keep the SM capacitor voltages balanced. Using this strategy,only the summation of SM capacitor voltages of each armis required for control purposes, which simplifies the communicationamong the SMs and the central controller. This paperalso introduces a modified switching strategy, which not onlyreduces the calculation burden of the FCS-MPC strategy evenmore, but also simplifies the SM capacitor voltage balancingalgorithm. In addition, this strategy reduces the SM switchingfrequency and power losses by avoiding the unnecessary switchingtransitions. The performance of the proposed strategies for a20-level MMC is evaluated based on the time-domain simulationstudies.
机译:模块化多电平转换器(MMC)是中/大功率应用的潜在候选人,特别是高压直流输电系统。 MMC控制中的主要挑战之一是在保持电容器电压平衡的同时消除/最小化循环电流。本文提出了一种使用有限控制集模型预测控制(FCS-MPC)的MMC控制策略。推导并离散化MMC的双线性数学模型以预测MMC的状态。在每个切换周期内,基于评估和最小化定义的成本函数来选择MMC的最佳切换状态。定义的成本函数旨在消除MMC循环电流,调节臂电压并控制交流侧电流。为了减少MPC的计算负担,将基于常规排序方法的子模块(SM)电容器电压平衡控制器与所提出的FCS-MPC策略相结合。提出的FCS-MPC策略确定MMC每个分支中插入/旁路SM的数量,同时使用排序算法来保持SM电容器电压平衡。使用此策略,仅需将每个支路的SM电容器电压之和用于控制目的,从而简化了SM与中央控制器之间的通信。本文还介绍了一种改进的开关策略,它不仅减轻了FCS-MPC策略的计算负担,而且简化了SM电容器电压平衡算法。另外,该策略通过避免不必要的开关转换来减少SM开关频率和功率损耗。基于时域仿真研究,评估了所提出的20级MMC策略的性能。

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