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A one-step model predictive control for modular multilevel converters

机译:模块化多电平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[1],[2]中提出的模块化多电平转换器(MMC)的两种切换方法。 PWM开关无法减轻转换器电桥中的循环电流。 [2]中提出的一种MPC方法比较所有开关序列,并找到最佳开关序列以最小化目标函数(交流电流偏差,电容器电压偏差和下一时间步的循环电流的绝对值的加权和)。 。当子模块的数量增加时,计算工作量就很大。在本文中,提出了一种以最少的计算量就能完成的单步模型预测控制,以控制交流电流,保持电容器电压标称值并减轻循环电流。该算法根据当前状态确定每个相上的低电压和高电压的理想值。该算法还根据相应的上/下电流确定在下一个时间步中打开/关闭哪些子模块。通过Matlab SimPowerSystems中的仿真评估了所提出方法的性能。比较了PWM和建议的MPC的控制效果和性能。

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