Comparative Assessment of Modulation Strategies in Modular Multilevel Converters: An Attempt for a Better Compromise Between the Efficiency and Capacitor Voltages' Dispersion

IF 5.2 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Anthony Abdayem;Jean Sawma;Adrián Beneit;Ramon Blasco-Gimenez;Flavia Khatounian;Eric Monmasson
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引用次数: 0

Abstract

Modulation techniques for Modular Multilevel Converters (MMCs) encounter a limit in the tradeoff between reducing the total harmonic distortion (THD) of the load current and minimizing the number of commutations, primarily due to traditional sorting algorithms. This article presents a novel sorting algorithm to address this challenge. This study compares six modulation methods for MMCs: Nearest Level Control (NLC), Integral Modulation (IM), and PWM using a traditional sorting algorithm, alongside their modified versions featuring the novel sorting algorithm. The effectivenss of each modulation technique discussed in this article is verified through experimental tests. The results show that the proposed modulation techniques utilizing the suggested sorting algorithm, effectively decrease the switching number while maintaining the THD of the load currents. However, there is a slight increase in the disparity of the capacitor voltages, which remains controllable. In addition, the study fills a gap in the literature by providing experimental evidence and a theoretical framework demonstrating the superior efficiency of IM over NLC through frequency analysis and experimental results. These findings highlight the potential of the proposed techniques to optimize the MMC performance.
模块化多电平转换器中调制策略的比较评估:在效率和电容器电压分散性之间实现更好折衷的尝试
由于传统的排序算法,模块化多电平变换器(mmc)的调制技术在降低负载电流的总谐波失真(THD)和最小化换流次数之间的权衡中遇到了限制。本文提出了一种新的排序算法来解决这一挑战。本研究比较了mmc的六种调制方法:使用传统排序算法的最接近电平控制(NLC)、积分调制(IM)和PWM,以及采用新排序算法的改进版本。通过实验验证了本文所讨论的各种调制技术的有效性。结果表明,利用所提出的排序算法的调制技术,在保持负载电流的THD的同时,有效地减少了开关次数。然而,电容器电压的差异略有增加,这仍然是可控的。此外,本研究通过频率分析和实验结果提供了实验证据和理论框架,填补了文献的空白,证明了IM优于NLC的效率。这些发现突出了所提出的技术在优化MMC性能方面的潜力。
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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来源期刊
IEEE Open Journal of the Industrial Electronics Society
IEEE Open Journal of the Industrial Electronics Society ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
10.80
自引率
2.40%
发文量
33
审稿时长
12 weeks
期刊介绍: The IEEE Open Journal of the Industrial Electronics Society is dedicated to advancing information-intensive, knowledge-based automation, and digitalization, aiming to enhance various industrial and infrastructural ecosystems including energy, mobility, health, and home/building infrastructure. Encompassing a range of techniques leveraging data and information acquisition, analysis, manipulation, and distribution, the journal strives to achieve greater flexibility, efficiency, effectiveness, reliability, and security within digitalized and networked environments. Our scope provides a platform for discourse and dissemination of the latest developments in numerous research and innovation areas. These include electrical components and systems, smart grids, industrial cyber-physical systems, motion control, robotics and mechatronics, sensors and actuators, factory and building communication and automation, industrial digitalization, flexible and reconfigurable manufacturing, assistant systems, industrial applications of artificial intelligence and data science, as well as the implementation of machine learning, artificial neural networks, and fuzzy logic. Additionally, we explore human factors in digitalized and networked ecosystems. Join us in exploring and shaping the future of industrial electronics and digitalization.
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