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An Adaptive Model Based on Data-driven Approach for FCS-MPC Forming Converter in Microgrid

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  • Intelligent Control and Applications
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Abstract

This paper proposes a data-driven approach strategy for enhancing the performance of grid forming converters (GFCs) in microgrids by leveraging the capabilities of dynamic mode decomposition (DMD) in combination with finite-control-set model predictive control (FCS-MPC). Conventional FCS-MPC, based on static models, have encountered numerous challenges in addressing parametric uncertainties in microgrid applications. To address this, the proposed strategy introduces an adaptive model based on DMD, integrated into the FCS-MPC framework to yield a more robust and reliable control technique in the presence of parametric uncertainties. The proposed data-driven approach utilizes the DMD-based model in combination with FCS-MPC to effectively share power through primary control and maintain voltage and frequency stability through secondary control, thus achieving improved reference tracking, load power variation robustness, and power quality. The effectiveness and efficiency of this proposed data-driven approach were validated through a comparative study with conventional static model FCS-MPC and double loop PI control, utilizing the MATLAB/Simulink platform.

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Author information

Authors and Affiliations

  1. Electrical and Control Engineering Department in Arab Academy for Science Technology & Maritime Transport (AASTMT), P.O. Box 1029, Abu Qir Campus, Alexandria, Egypt

    Ahmed S. Omran

  2. Electrical and Control Engineering Department, College of Engineering & Technology, Arab Academy for Science, Technology and Maritime Transport (AASTMT), P.O. Box 1029, Abu Qir Campus - Tosson, Alexandria, Egypt

    Mostafa S. Hamad & M. Abdelgeliel

  3. Electrical and Control Engineering Department, Alexandria University, Lotfy El-Sied st. Off Gamal Abd El-Naser - Alexandria, Alexandria Governorate, Alexandria, 11432, Egypt

    Ayman S. Abdel-Khalik

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  1. Ahmed S. Omran
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Correspondence to Ahmed S. Omran.

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Ahmed S. Omran is a Ph.D. student in electrical engineering at the Arab Academy for Science, Technology and Maritime Transport (AASTMT) in Alexandria, Egypt. He obtained his B.Sc. and M.Sc. degrees in electrical engineering from Alexandria University, Egypt, in 2007 and 2019, respectively. Currently, he holds the esteemed Electrical Maintenance Department Head position at Sidi Kerir Petrochemicals Company (SIDPEC) and is an energy efficiency expert specializing in motor system optimization. His research interests include power electronics applications in power quality, electric drives, microgrids, data-driven control, energy management systems, and renewable energy.

Mostafa S. Hamad obtained his B.Sc. and M.Sc. degrees in electrical engineering from Alexandria University, Alexandria, Egypt, in 1999 and 2003, respectively, and a Ph.D. degree in electrical engineering from Strathclyde University, Glasgow, UK, in 2009. Currently, he is a Professor in the Department of Electrical and Control Engineering, College of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport (AASTMT), Alexandria, Egypt. His research interests include power electronics applications in power quality, electric drives, distributed generation, HVDC transmission systems, and renewable energy.

M. Abdelgeliel received his B.Sc. degree in electrical engineering from Alexandria University, Egypt, in 1995. He finished an M.Sc. degree in automatic control from the Arab Academy for Science, Technology and Maritime Transport (AASTMT), Egypt, in 2000. He received a Ph.D. degree in automatic control from Mannheim University, Germany in 2006. He is currently a professor in the Electrical and Control Engineering Department and the head of the energy research unit, AASTMT. His research interests include automatic control applications in renewable energy and energy management in addition to fault diagnosis and tolerant systems. He is a member of IEEE and AEE.

Ayman S. Abdel-Khalik received his B.Sc. and M.Sc. degrees in electrical engineering from Alexandria University, Alexandria, Egypt, in 2001 and 2004, respectively, and a Ph.D. degree in electrical engineering from Alexandria University, and Strathclyde University, Glasgow, UK, in 2009, under a dual channel program. He is currently a Professor with the Electrical Engineering Department, Faculty of Engineering, Alexandria University, Alexandria, Egypt. He serves as an Associate Editor of IEEE Transactions on Industrial Electronics and IET Electric Power Applications Journal. Also, he serves as the Executive Editor of Alexandria Engineering Journal. His current research interests include electrical machine design and modelling, electric drives, energy conversion, and renewable energy.

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Omran, A.S., Hamad, M.S., Abdelgeliel, M. et al. An Adaptive Model Based on Data-driven Approach for FCS-MPC Forming Converter in Microgrid. Int. J. Control Autom. Syst. 21, 3777–3795 (2023). https://doi.org/10.1007/s12555-022-0928-4

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