People

Dr Mostefa Kermadi

Lecturer in Electrical and Electronics Engineering

Dr Mostefa Kermadi

School/Department: School of Engineering

Telephone: +44 (0)116 252 2526

Email: mostefa.kermadi@leicester.ac.uk

Address: MA120 Michael Atiyah Building, School of Engineering, University of Leicester, University Road, LE1 7RH, Leicester

Profile

Mostefa Kermadi received an Engineering degree (Dipl. Ing.), M.Sc., and Ph.D. in Automatic Control from the National Polytechnic School (École Nationale Polytechnique). During his Ph.D. work, he was a Visiting Researcher at the Centre of Electrical Energy Systems, Universiti Teknologi Malaysia. After Ph.D., he joined the University of Malaya as a Post-doctoral Research Fellow at the Power Electronics and Renewable Energy Research Laboratory. Later, he became a Lecturer in the Department of Electrical Engineering at the same university. Currently, he is a Lecturer (Assistant Professor) at the School of Engineering, University of Leicester. He has been listed by Stanford University among the top 2% scientists in the world in their respective field in the year 2023. His research interests include the control of power converters, the application of artificial intelligence for power conversion and management in renewable energy systems, and the grid integration of renewable energy systems.

Research

Dr. Mostefa Kermadi is an energetic early career researcher who has made several contributions to the field of controlling energy conversion systems using power electronics. He has authored and co-authored 30 publications in refereed international journals and more than 20 conference proceedings. His work involves pioneering research in maximum power point tracking (MPPT) for photovoltaic systems by applying artificial intelligence techniques. He holds a patent for developing an analytical modeling approach for photovoltaic arrays under partial shading conditions, which is covered by PV Magazine.

Dr. Mostefa has also worked on the robust integration of distributed photovoltaic power generators into the utility grid. He designed a half-bridge evaluation board for power converters which is currently used by many post-graduate students in their experimental test benches and enabled them getting their experimental results and publishing their works in reputable journals. As part of a consultancy project in Malaysia, the half-bridge prototype has been successfully adopted in a wireless power transfer battery charger for last-mile delivery robots developed by a Malaysian start-up company named Hello World Robotics.

His current research focus is on addressing challenges posed by the high integration of renewable energy sources and the high penetration of electric vehicles into modern power electronics-dominated grids. He is working on the development of optimal power processing techniques for grid-connected and vehicle-to-grid inverters, enhancing controller performance for both grid-forming and grid-feeding operation modes with the objective of ensuring reliable and optimal performance in both grid-connected and islanded modes.

Publications

  1. M. Kermadi, A. Rebai, L. Baghli et al., "Model-Free Predictive Current Controller for Voltage Source Inverters Using ARX Model and Recursive Least Squares," in IEEE Transactions on Circuits and Systems II: Express Briefs, doi: 10.1109/TCSII.2024.3349501.
  2. P. A. Hosseinabadi, S. Mekhilef, H. Pota and M. Kermadi, "Chattering-free Fixed-time Robust Sliding Mode Controller for Grid-connected Inverters under Parameter Variations," in IEEE Journal of Emerging and Selected Topics in Power Electronics, doi: 10.1109/JESTPE.2023.3336186. 
  3. Ahmed, Sajib; Mekhilef, Saad; Mubin, Marizan; Tey, Kok Soon; Kermadi, Mostefa (2023). An Adaptive Perturb and Observe Algorithm With Enhanced Skipping Feature for Fast Global Maximum Power Point Tracking Under Partial Shading Conditions, IEEE TRANSACTIONS ON POWER ELECTRONICS. 38(9), 11601-11613. doi:10.1109/TPEL.2023.3285243
  4. Ahmed, Sajib; Mekhilef, Saad; Mubin, Marizan; Tey, Kok Soon; Kermadi, Mostefa (2023). An enhanced scanning technique for flexible power point tracking under partial shading condition, SOLAR ENERGY. 262. doi:10.1016/j.solener.2023.111817
  5. Deboucha, Houssam; Kermadi, Mostefa; Mekhilef, Saad; Belaid, Sofia Lalouni (2023). Ultra-Fast and Accurate MPPT Control Structure for Mobile PV System Under Fast-Changing Atmospheric Conditions, IEEE TRANSACTIONS ON SUSTAINABLE ENERGY. 14(4), 2168-2176. doi:10.1109/TSTE.2023.3260031
  6. Obeidi, Nabil; Kermadi, Mostefa; Belmadani, Bachir; Allag, Abdelkrim; Achour, Lazhar; Mesbahi, Nadhir; Mekhilef, Saad (2023). A modified current sensorless approach for maximum power point tracking of partially shaded photovoltaic systems, ENERGY. 263. doi:10.1016/j.energy.2022.125618
  7. Samatar, Abdullahi Mohamed; Mekhilef, Saad; Mokhlis, Hazlie; Kermadi, Mostefa; Diblawe, Abdulkadir Mukhtar; Stojcevski, Alex; Seyedmahmoudian, Mehdi (2023). The utilization and potential of solar energy in Somalia: Current state and prospects, ENERGY STRATEGY REVIEWS. 48. doi:10.1016/j.esr.2023.101108
  8. Zahraoui, Younes; Zaihidee, Fardila M.; Kermadi, Mostefa; Mekhilef, Saad; Alhamrouni, Ibrahim; Seyedmahmoudian, Mehdi; Stojcevski, Alex (2023). Optimal Tuning of Fractional Order Sliding Mode Controller for PMSM Speed Using Neural Network with Reinforcement Learning, ENERGIES. 16(11). doi:10.3390/en16114353
  9. Zahraoui, Younes; Zaihidee, Fardila M.; Kermadi, Mostefa; Mekhilef, Saad; Mubin, Marizan; Tang, Jing Rui; Zaihidee, Ezrinda M. (2023). Fractional Order Sliding Mode Controller Based on Supervised Machine Learning Techniques for Speed Control of PMSM, MATHEMATICS. 11(6). doi:10.3390/math11061457
  10. Bekhoucha, Nassima; Kermadi, Mostefa; Mesbahi, Nadhir; Mekhilef, Saad (2022). Performance Investigation of Deadbeat Predictive Controllers for Three-Level Neutral Point Clamped Inverter, IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS. 10(1), 1165-1177. doi:10.1109/JESTPE.2021.3092057
  11. Boualem, S.; Kraa, O.; Benmeddour, M.; Kermadi, M.; Maamir, M.; Cherif, Hakima (2022). Power management strategy based on Elman neural network for grid-connected photovoltaic-wind-battery hybrid system*, COMPUTERS & ELECTRICAL ENGINEERING. 99. doi:10.1016/j.compeleceng.2022.107823
  12. Maamar, Alla Eddine Toubal; Helaimi, M'hamed; Taleb, Rachid; Kermadi, Mostefa; Mekhilef, Saad (2022). A neural network-based selective harmonic elimination scheme for five-level inverter, INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS. . doi:10.1002/cta.3130
  13. Obeidi, Nabil; Kermadi, Mostefa; Belmadani, Bachir; Allag, Abdelkarim; Achour, Lazhar; Mekhilef, Saad (2022). A Current Sensorless Control of Buck-Boost Converter for Maximum Power Point Tracking in Photovoltaic Applications, ENERGIES. 15(20). doi:10.3390/en15207811
  14. Ahmed, J., Salam, Z., Kermadi, M., Afrouzi, H. N., & Ashique, R. H. (2021). A skipping adaptive P&O MPPT for fast and efficient tracking under partial shading in PV arrays. International Transactions on Electrical Energy Systems, 31(9), 24. doi: 10.1002/2050-7038.13017
  15. Chaib, I., Berkouk, E., Gaubert, J. P., Kermadi, M., Sabeur, N., & Mekhilef, S. (2021). An Improved Discontinuous Space Vector Modulation for Z-Source Inverter With Reduced Power Losses. Ieee Journal of Emerging and Selected Topics in Power Electronics, 9(3), 3479-3488. doi: 10.1109/jestpe.2020.3002684
  16. Deboucha, H., Kermadi, M., Mekhilef, S., & Lalouni, S. (2021). Voltage Track Optimizer Based Maximum Power Point Tracker Under Challenging Partially Shaded Photovoltaic Systems. IEEE Transactions on Power Electronics, 36(12), 13817-13825. doi: 10.1109/tpel.2021.3089658
  17. Kermadi, M., Salam, Z., Ahmed, J., & Berkouk, E. (2021). A High-Performance Global Maximum Power Point Tracker of PV System for Rapidly Changing Partial Shading Conditions. IEEE Transactions on Industrial Electronics, 68(3), 2236-2245. doi: 10.1109/tie.2020.2972456
  18. Kermadi, Mostefa; Salam, Zainal; Ahmed, Jubaer; Mekhilef, Saad; Berkouk, El Madjid (2021). Assessment of maximum power point trackers performance using direct and indirect control methods (vol 30, e12565, 2020), INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS. 31(2). doi:10.1002/2050-7038.12810
  19. Maamar, A. E. T., Helaimi, M., Taleb, R., Kermadi, M., Mekhilef, S., Wahyudie, A., & Rawa, M. (2021). Analysis and Small Signal Modeling of Five-Level Series Resonant Inverter. Ieee Access, 9, 109384-109395. doi: 10.1109/access.2021.3102102
  20. Maamar, A. E. T., Kermadi, M., Helaimi, M., Taleb, R., & Mekhilef, S. (2021). An Improved Single-Phase Asymmetrical Multilevel Inverter Structure With Reduced Number of Switches and Higher Power Quality. Ieee Transactions on Circuits and Systems Ii-Express Briefs, 68(6), 2092-2096. doi: 10.1109/tcsii.2020.3046186
  21. Arfeen, Z. A., Kermadi, M., Azam, M. K., Siddiqui, T. A., Akhtar, Z. U., Ado, M., & Abdullah, M. P. (2020). Insights and trends of optimal voltage-frequency control DG-basedinverter for autonomous microgrid: State-of-the-art review. International Transactions on Electrical Energy Systems, 30(10), 26. doi: 10.1002/2050-7038.12555
  22. Kermadi, M., Chin, V. J., Mekhilef, S., & Salam, Z. (2020). A fast and accurate generalized analytical approach for PV arrays modeling under partial shading conditions. Solar Energy, 208, 753-765. doi: 10.1016/j.solener.2020.07.077 
  23. Kermadi, M., Salam, Z., Eltamaly, A. M., Ahmed, J., Mekhilef, S., Larbes, C., & Berkouk, E. (2020). Recent developments of MPPT techniques for PV systems under partial shading conditions: a critical review and performance evaluation. IET Renewable Power Generation, 14(17), 3401-3417. doi: 10.1049/iet-rpg.2020.0454
  24. Atoui A., Kermadi M., Boucherit M.S., Benmansour K., Barkat S., Akel F., Mekhilef S. (2023). A fast and accurate global maximum power point tracking controller for photovoltaic systems under complex partial shadings, International Journal of Electrical and Computer Engineering. 13(1), 69-84. doi:10.11591/ijece.v13i1.pp69-84
  25. M. Kermadi, Z. Salam, J. Ahmed and E. M. Berkouk, "An Effective Hybrid Maximum Power Point Tracker of Photovoltaic Arrays for Complex Partial Shading Conditions," in IEEE Transactions on Industrial Electronics, vol. 66, no. 9, pp. 6990-7000, Sept. 2019. doi: 10.1109/TIE.2018.2877202.
  26. M. Kermadi, and E. M. Berkouk. "Artificial intelligence-based maximum power point tracking controllers for Photovoltaic systems: Comparative study." Renewable and Sustainable Energy Reviews 69 (2017): 369-386.

Awards

IEEE Power Electronics Society (PELS) Malaysia Chapter Best Paper Award won on the paper entitled "An Adaptive Sliding Mode Control Technique Applied in Grid Connected PV System with Reduced Chattering Effect", at the Third IEEE Conference on Energy Conversion (CENCON 2017), Kuala lumpur, Malaysia.

Media coverage

Simplified modeling for partially shaded PV systems: an article in PV magazine covering our findings published on the paper "A fast and accurate generalized analytical approach for PV arrays modeling under partial shading conditions", by SOLAR ENERGY JOURNAL.

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