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Fast model predictive control algorithms for fast-switching modular multilevel converters

机译:快速开关模块化多电平转换器的快速模型预测控制算法

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摘要

For high-power/voltage systems, particularly for high-voltage direct current (HVDC), one of the most potential converter topologies is the modular mutlilevel converter (MMC). Model predictive control (MPC) is one of the switching methods studied in the literature for MMC to simultaneously achieve the three challenging objectives of (1) following the reference of the current waveform requested by upper-level control, (2) mitigating on circulating current, and (3) regulating capacitor voltages of sub-modules. Since the MPC models proposed in the literature suffer from high computation burdens making the algorithm not applicable to high-frequency switching MMCs, a binary integer programming based MPC has been proposed in this paper to optimize this multi-objective problem with minimum computing effort. The main contribution of the algorithms proposed in this paper is to significantly reduce the computation expenses by cutting the searching space from millions of feasible solutions to the incredibly low number of "4", while taking care of the three objectives of MMC control. The performance of the proposed method is evaluated via simulation in MATLAB SimPowerSystems. (C) 2015 Elsevier B.V. All rights reserved.
机译:对于大功率/电压系统,特别是对于高压直流(HVDC),最有潜力的转换器拓扑之一是模块化多电平转换器(MMC)。模型预测控制(MPC)是文献中研究的MMC切换方法之一,可以同时实现以下三个挑战性目标:(1)参考上级控制所要求的电流波形;(2)减轻循环电流(3)调节子模块的电容器电压。由于文献中提出的MPC模型承受着很高的计算负担,使得该算法不适用于高频开关MMC,因此本文提出了一种基于二进制整数编程的MPC,以最小的计算量来优化该多目标问题。本文提出的算法的主要贡献是通过将搜索空间从数百万个可行的解决方案中减少到难以置信的“ 4”个极低的数目,同时兼顾了MMC控制的三个目标,从而显着减少了计算费用。通过在MATLAB SimPowerSystems中进行仿真,评估了所提出方法的性能。 (C)2015 Elsevier B.V.保留所有权利。

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