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Predictive Nearest-Level Control Algorithm for Modular Multilevel Converters With Reduced Harmonic Distortion

机译:用于减少谐波失真的模块化多级转换器的预测最近级控制算法

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摘要

Owing to the low number of submodules (SMs) in modular multilevel converters (MMCs), especially in medium-voltage applications, the output current and voltage generated by conventional nearest-level control (NLC) methods contain evident distortions. Previously, various hybrid and level-increased NLC methods have been proposed to improve the output voltage quality, but such measures wither increased the complexity or did not regulate all the control objectives simultaneously. To further enhance the output performances of MMCs containing low numbers of SMs, an improved predictive NLC (I-PNLC) method combining NLC and model predictive control (MPC) is proposed, where the output and circulating currents are regulated with the corresponding predicted references, and the output voltage is controlled by the added voltage correction. The proposed I-PNLC not only reduces the output current and voltage total harmonic distortion (THD) considerably but also avoids additional complexity in the control system design. The results of simulations and an experiment are presented to verify the proposed approach, in addition to a comparison of the evaluations of conventional NLC methods.
机译:由于模块化多级转换器(MMC)中的低数量(SMS),特别是在中电压应用中,传统最近级控制(NLC)方法产生的输出电流和电压包含明显的失真。以前,已经提出了各种混合和水平增加的NLC方法来提高输出电压质量,但这种措施含有增加的复杂性或者并没有同时调节所有控制目标。为了进一步增强包含少量SMS的MMC的输出性能,提出了一种组合NLC和模型预测控制(MPC)的改进的预测NLC(I-PNLC)方法,其中输出和循环电流用相应的预测参考调节,并且输出电压由附加的电压校正控制。所提出的I-PNLC不仅降低了输出电流和电压总谐波失真(THD),而且还避免了控制系统设计中的额外复杂性。除了比较常规NLC方法的比较外,还提出了模拟结果和实验以验证所提出的方法。

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