Improved Direct Power Control of T-Type Rectifiers With Parameter Robustness Feedforward Compensation for DC-Bus Voltage Ripple Suppression Under Unbalanced Grid Conditions

IF 5.2 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Yi-Hung Liao;Jia-Sheng Liu;Pu-Yi Huang;Ping-Ju Chen
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引用次数: 0

Abstract

In a three-phase three-level ac/dc converter, the T-type rectifier features high efficiency and lower power switch stress, and it allows the dc-side voltage to serve as two independent output voltage sources. In practical applications, the operation of the T-type rectifier under unbalanced three-phase grid conditions must be considered. This article establishes an improved direct power control structure based on extended power theory under unbalanced grid conditions to achieve distortion-free current for the T-type rectifier. Additionally, a feedforward virtual capacitor power compensation is created to eliminate the output voltage ripples caused by the ripple power of the rectifier inductance under the unbalanced three-phase grid. The controller design of the improved direct power control and the choice of the virtual capacitor are analyzed. Furthermore, the proposed method regulates the neutral point voltage of the T-type rectifier, eliminates neutral point current disturbances, and provides a stable and accurate dc output voltage, ensuring high quality power supply. The proposed strategy does not require a phase-locked loop or ac-side system parameters, resulting in excellent dynamic performance and robustness against parameter mismatches. Finally, the effectiveness and feasibility of the proposed control strategy are verified through simulation results and the implementation of a 2.4 kW three-phase T-type rectifier.
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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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