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A one-step model predictive control for modular multilevel converters

机译:模块化多级转换器的一步模型预测控制

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Pulse Width Modulation (PWM) and Model Predictive Control (MPC) are two switching methods for Modular Mutlilevel Converter (MMC) presented in the literature [1], [2]. PWM switching cannot mitigate circulating currents in the converter bridges. An MPC method proposed in [2] compares all switching sequences and finds the optimal one to minimize the objective function (a weighted sum of the absolute values of the ac current deviation, capacitor voltage deviation, and the circulating current of the next time step). The computation effort is significant when the numbers of submodules increase. In this paper, a one-step model predictive control with minimum computing effort has been proposed to control the ac currents, keep the capacitor voltages nominal, and mitigate the circulating currents. The algorithm determines the ideal values of the lower-level and upper-level voltages on each phase based on the current state. The algorithm also determines which submodules to be switched on/off for the next time step according to the corresponding upper/lower current. The performance of the proposed method is evaluated via simulation in Matlab SimPowerSystems. The PWM and the proposed MPC are compared for their control effort and performance.
机译:脉冲宽度调制(PWM)和模型预测控制(MPC)是文献中呈现的模块化Mutlilevel转换器(MMC)的两个开关方法[1],[2]。 PWM切换不能减轻转换器桥梁中的循环电流。 [2]中提出的MPC方法比较所有切换序列,并找到最佳的开关序列,以最小化目标函数(AC电流偏差的绝对值的加权和,电容器电压偏差以及下次步骤的循环电流) 。当子模块的数量增加时,计算工作很大。在本文中,已经提出了一种具有最小计算工作的一步模型预测控制来控制交流电流,使电容器电压标称,并减轻循环电流。该算法基于当前状态确定每个相位上的较低级别和上限电压的理想值。该算法还确定根据相应的上/下电流的下一次步骤来开启/关闭哪些子模块。通过Matlab SimPowersystems的仿真评估所提出的方法的性能。比较PWM和所提出的MPC,以便控制努力和性能。

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