State Key Laboratory of Internet of Things for Smart City and the Department of Electrical and Computer Engineering, University of Macau, Macao, China
Xin Jin received the B.S. degree in automation from Northeastern University, Shenyang, China, in 2017, and the M.S. degree in electrical engineering from Chongqing University, Chongqing, China, in 2020. He is currently working toward the Ph.D. degree in electrical and computer engineering with University of Macau, Macao, China. In 2025, he was a Visiting Researcher with Auckland University of Technology, Auckland, New Zealand. His research interests include modeling, analysis, and design of power electronic system. Email:yc27997@um.edu.mo
Zhipeng Zhou received the B.S. degree in electrical engineering and automation from Jilin University, Changchun, China, in 2019, and the M.S. degree in electrical and computer engineering from University of Macau, Macao, China, in 2022. He is currently working toward the Ph.D. degree in electrical and computer engineering with University of Macau, Macao, China. His research interests include power electronics, modular multilevel converter, harmonics suppression, and optimization algorithm. Email:yc37936@um.edu.mo
Ningyi Dai received the B.Sc. degree in electrical engineering from Southeast University, Nanjing, China, in 2001, and the M.Sc. and Ph.D. degrees in electrical and electronics engineering from University of Macau, Macao, China, in 2004 and 2007, respectively. She is currently an Associate Professor in the Department of Electrical and Computer Engineering and the State Key Laboratory of Internet of Things for Smart City, University of Macau. She is also the Assistant Dean of the Faculty of Science and Technology, University of Macau. Her research interests include application of power electronics in power system, and design and control of multi-level power converter. Email:nydai@um.edu.mo
收稿:2025-09-05,
修回:2025-12-04,
录用:2026-03-16,
网络首发:2026-04-01,
纸质出版:2026-09-15
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Xin Jin, Zhipeng Zhou, Ningyi Dai. Robust Stability Analysis and Design of Parallel Grid-forming Converters in Islanded Microgrid[J]. MPCE, 2026,14(5):1672-1683.
Jin Xin,Zhou Zhipeng,Dai Ningyi.Robust Stability Analysis and Design of Parallel Grid-forming Converters in Islanded Microgrid[J].Journal of Modern Power Systems and Clean Energy,2026,14(05):1672-1683.
Xin Jin, Zhipeng Zhou, Ningyi Dai. Robust Stability Analysis and Design of Parallel Grid-forming Converters in Islanded Microgrid[J]. MPCE, 2026,14(5):1672-1683. DOI: 10.35833/MPCE.2025.000833.
Jin Xin,Zhou Zhipeng,Dai Ningyi.Robust Stability Analysis and Design of Parallel Grid-forming Converters in Islanded Microgrid[J].Journal of Modern Power Systems and Clean Energy,2026,14(05):1672-1683. DOI: 10.35833/MPCE.2025.000833.
The stability of microgrid (MG) is affected by the interaction between parallel inverter-based resources (IBRs)
especially when grid-forming (GFM) control is implemented in islanded MG to provide voltage support. In this paper
the robust stability analysis using structured singular value (SSV) approach and design of parallel GFM converters in islanded MG by structured
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synthesis are presented
catering to its multi-input multi-output (MIMO) nature. Specifically
a modular state-space model of parallel GFM converters in islanded MG is derived with component connection method (CCM). Model uncertainty is captured against the nominal model
delivering a certain degree of robustness for stability analysis
in the face of potential parametric uncertainty and resonance effects induced by parallel GFM converters. Moreover
the effects of system parameters on robust stability are comprehensively analyzed
and a robust design is proposed for virtual impedance (VI) tuning. The accuracy of modelling and robust stability analysis
as well as the effectiveness of the robust design is validated in MATLAB/Simulink/PLECS and real-time digital simulator (RTDS).
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