并网多电平二极管箝位变换器的简化直接功率控制

IF 4.3 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Azeddine Mehaouchi;Mansour Bouzidi;Boualaga Rabhi;Haitham Abu-Rub;Said Barkat;Abdelghani Boubekri
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引用次数: 0

摘要

针对多电平并网二极管箝位变换器(DCC),提出了一种基于开关表的简化直接功率控制(SDPC)方法。这项工作的主要目的是将SWT大小减少六分之一,从而减少所需的计算时间。所提出的算法提供了一种简化,适用于为DCC设计的任何直接功率控制算法,无论SWT大小或转换器级别如何。此外,该方法通过优化选择第一扇区内的冗余状态来确保变换器中的直流侧电容器电压平衡。实验和实时仿真结果表明,所提出的SDPC方法在缩短执行时间的同时,保证了有功功率和无功功率的精确调节,并保持了电容器电压的平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simplified Direct Power Control for Grid Connected Multilevel Diode Clamped Converter
This article proposes a simplified direct power control (SDPC) based on a switching table (SWT) for a multilevel grid-connected diode-clamped converter (DCC). This work primarily aims to reduce the SWT size by one-sixth, thereby decreasing the required computational time. The proposed algorithm offers a simplification applicable to any direct power control algorithm designed for the DCC, regardless of SWT size or converter levels. Furthermore, the proposed approach ensures dc-side capacitor voltage balance in the converter by optimally selecting redundant states exclusively within the first sector. Experimental and real-time simulation results are conducted to demonstrate the effectiveness of the proposed SDPC method in reducing execution time while ensuring accurate regulation of both active and reactive power and maintaining balanced capacitor voltages.
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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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