Robust Impedance Emulation for Transmission Line Interface in Power-Hardware-in-the-Loop Applications: Optimal Filter Approach

IF 5.2 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Open Journal of the Industrial Electronics Society Pub Date : 2025-01-17 DOI:10.1109/OJIES.2025.3531233
Dmitry Rimorov;James Richard Forbes;Olivier Tremblay;Richard Gagnon
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Abstract

Power-hardware-in-the-loop (PHIL) simulation infrastructure is an invaluable tool for testing and validating emerging technologies expected to be connected to power grids. As such, PHIL closed-loop stability is a crucial factor to consider when designing its numerical interface. Recent work has shown that the transmission line method provides a robust solution to the PHIL interface stability problem while achieving a high level of PHIL closed-loop performance. However, to fully utilize its advantages, it requires a fast impedance emulation control loop. To solve this problem, this article proposes an $\mathcal {H}_{\infty }$ optimal filter approach for characteristic impedance emulation, which allows a systematic and tractable design procedure and produces a robust controller. Robust stability and performance are assessed through the positive realness check and by virtue of the structured singular value. The proposed method and the resulting controller are compared to an existing approach and validated on a 3-kVA, 208-V PHIL experimental testbed with different types of the device under test, including a residential solar inverter. The results demonstrate significant performance improvements that are crucial for the future megawatt-scale PHIL infrastructure.
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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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