Single Prediction Horizon Finite Control Set Model Predictive Control for Single-Phase MMCs

Anthony Abdayem, J. Sawma, F. Khatounian, E. Monmasson, R. Ghosn
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Abstract

This paper proposes a single horizon finite control set model predictive control (FCS-MPC) algorithm for controlling single-phase Modular Multilevel Converters. These converters are widely utilized in high-voltage DC transmission systems and renewable energy systems. The main goal of this research is to assess and compare the effectiveness of the proposed FCS-MPC approach with a classic method. The classic method includes PI controllers, for controlling the load and circulating currents, then a sorting algorithm for balancing the capacitor voltages, then a modulation technique. On the other hand, the FCS-MPC combine all these algorithm in one computationally efficient controller. The performance of the different methods is evaluated through software simulations in terms of number of commutations per second, grid current waveform quality, and the variance of the capacitor voltages. Finally, conclusion are drawn.
单相mmc的单预测地平线有限控制集模型预测控制
提出了一种控制单相模块化多电平变换器的单水平有限控制集模型预测控制算法(FCS-MPC)。这些变换器广泛应用于高压直流输电系统和可再生能源系统。本研究的主要目的是评估和比较所提出的FCS-MPC方法与经典方法的有效性。经典的方法包括PI控制器,用于控制负载和循环电流,然后是平衡电容器电压的排序算法,然后是调制技术。另一方面,FCS-MPC将所有这些算法结合在一个计算效率高的控制器中。通过软件仿真,从每秒换流次数、电网电流波形质量和电容器电压方差等方面对不同方法的性能进行了评估。最后,得出结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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