Model Predictive Control in Multilevel Inverters Part II: Renewable Energies and Grid Applications

IF 7.9 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Open Journal of Industry Applications Pub Date : 2024-09-13 DOI:10.1109/OJIA.2024.3460668

Margarita Norambuena;Andres Mora;Cristian Garcia;Jose Rodriguez;Mokhtar Aly;Fernanda Carnielutti;Javier Pereda;Cristian Castillo;Zhenbin Zhang;Venkata Yaramasu;Luca Tarisciotti;Yafei Yin

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Abstract

This article presents the use of model predictive control (MPC) in multilevel inverters for some applications, such as, first, wind generation and, second, photovoltaics, showing that the particular restrictions of each of them can be very easily included in the control algorithm, which is an important advantage of this technique. Another application is in modular multilevel cascaded converters, where it is demonstrated that MPC can operate with very few calculations and fixed switching frequency. The second part of this article is dedicated to comparing MPC with linear control and pulsewidth modulation for multilevel inverters. The main comparison criteria are the switching losses, the distortion in the load current, and the number of commutations. The main conclusion is that MPC is a competitive alternative to linear control for application in multilevel inverters.

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多电平逆变器中的模型预测控制第二部分：可再生能源和电网应用

本文介绍了模型预测控制（MPC）在多电平逆变器中的应用，首先是风力发电，其次是光伏发电，表明在控制算法中可以非常容易地包含每种逆变器的特殊限制，这是该技术的一个重要优势。另一个应用是模块化多电平级联转换器，它证明了 MPC 可以在很少计算和固定开关频率的情况下运行。本文的第二部分专门比较多电平逆变器的 MPC 与线性控制和脉宽调制。主要比较标准是开关损耗、负载电流失真和换向次数。主要结论是，在多电平逆变器的应用中，MPC 是线性控制的一个有竞争力的替代方案。

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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IEEE Open Journal of Industry Applications

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13.50

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