基于多端口 MMC 的固态变压器通过高频侧控制实现子模块电容器电压平衡

IF 5.2 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Open Journal of the Industrial Electronics Society Pub Date : 2024-04-10 DOI:10.1109/OJIES.2024.3386948

Lukas Antonio Budiwicaksana;Dong-Choon Lee

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引用次数: 0

摘要

本文为基于多端口模块化多电平转换器（MMC）的固态变压器提出了一种新型子模块电容器电压平衡控制。为了平衡每个子模块的电容器电压，平衡控制通常应用于 MMC。然而，MMC 的低开关频率操作和庞大的臂电感限制了控制器的带宽和稳定裕度。为了解决这些问题，我们将平衡控制转移到了后端直流/直流转换器上，该转换器以高开关频率运行。控制器增益是根据小信号模型设计的。通过博德图、极零图和奈奎斯特路径分析，验证了所提出的控制器优于传统控制器。2.4 千瓦原型系统的实验结果也验证了模型的准确性和所提平衡控制对阶跃负荷变化的有效性。

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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Submodule Capacitor Voltage Balancing Through High-Frequency-Side Control for Multiport MMC-Based Solid-State Transformers

This article proposes a novel submodule capacitor voltage balancing control for multiport modular multilevel converter (MMC)-based solid-state transformers. To balance each submodule capacitor voltage, the balancing control is usually applied to the MMC. However, the low switching frequency operation and bulky arm inductance of the MMC limit the controller bandwidth and stability margin. These issues are addressed by moving the balancing control to the back-end dc/dc converter, which is operated at high switching frequency. The controller gains are designed based on the small-signal model. The superiority of the proposed controller over the conventional one has been verified through Bode plot, pole-zero map, and Nyquist path analyses. Experimental results for a 2.4-kW prototype system have also verified the accuracy of the model and effectiveness of the proposed balancing control for step load changes.

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来源期刊

IEEE Open Journal of the Industrial Electronics Society ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

10.80

自引率

2.40%

发文量

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.