Dr. Md Jahidur Rahman is an Assistant Professor of Practice in Power Engineering at Lawrence Technological University (LTU). Before joining LTU, he worked as a Postdoctoral Research Associate at Université du Québec en Abitibi Témiscamingue (UQAT), contributing to advanced research on renewable energy integration and sustainable power systems. He received the Excellence Thesis Award for his Ph.D. Research. Dr. Rahman’s research focuses on renewable energy sources, distributed generation, energy storage systems, and innovative grid applications. His work addresses the challenges of power flow stability, frequency control, battery management, and harmonic mitigation in high- penetration renewable energy networks. He has developed advanced control algorithms, including PID, fuzzy logic, and nonlinear controllers, along with power converter and filter designs to enhance network efficiency, reliability, and sustainability.

He has also been actively involved in projects aimed at enhancing sustainability in shore power operations through integrated distributed generation, with an emphasis on solar, wind, hydrogen, and energy storage technologies. His contributions offer valuable insights into enhancing the efficiency, stability, and environmental sustainability of modern power grids.

Research

Current Research

• Enhancing Sustainability in Shore Power Operations through Integrated Distributed Generation in a Power Network: Focus on PV, Wind, Hydrogen, and Energy Storage Systems.
• Integration of Distributed Generation Along with Energy Storage System to Reduce the High Penetration Impacts of Renewable Energy Sources into the Power Grid.

Research Interests

• Renewable Energy Sources and Distributed Generation – Integration of solar, wind, and other renewable sources into modern power systems.
• Dynamic Stability of Power Systems – Modeling and control of system dynamics under renewable energy penetration.
• Power Flow & Frequency Control – Advanced techniques for stable and reliable
  operation of interconnected grids.
• Energy Storage Systems – Application of batteries, hydrogen, and hybrid storage for renewable energy integration and grid support.
• Improving Network Efficiency & Reducing Power Losses – Optimization methods
  for enhanced system reliability.
• Control Strategies – Application of integral-derivative controllers, PID controllers, fuzzy logic, nonlinear, and notch filter–based controllers in the power grid.
• Power Electronics for Renewable Energy – Design and control of DC-DC converters, inverters, and grid interface systems.
• Smart Grid Technologies – Enhancing efficiency, resilience, and reliability of power
  networks with intelligent control.
• Harmonic Mitigation & Power Quality – Analysis and reduction of total harmonic distortion (THD) in renewable-rich systems.
• Photovoltaic Systems – Modeling, simulation, and efficiency improvement of PV panels and their grid integration.

Education

• Ph.D. in (Electrical) Engineering, Université du Québec à Chicoutimi (UQAC), Canada, 2024
• Master of Applied Science (M.A.Sc.) in Electrical Engineering, École de Technologie Supérieure (ETS), Canada, 2017
• Bachelor of Science (B.Sc.) in Electrical and Electronic Engineering, Stamford University, Bangladesh, 2013

Courses Taught

• Power Electronics – EEE 5313
• Electric Machines for Electric Vehicles – EEE 5923
• Electric Machines – EEE 4133
• Circuits 2 Lab – EEE 3121
• Control of Electrical Machines – 6MIG810

Research Scholarships and Grants

• Support Grant for Doctoral Thesis, $7,000, J.A. DeSève et Fondation de l’UQAT, Canada
• Graduate Research Grant, $10,000, Réseau québécois sur l’énergie intelligente (RQEI), Canada
• Research Scholarship, $56,000, Université du Québec en Abitibi-Témiscamingue, Canada
• Merit Order Scholarship, $4,500, Ministry of Education, Recreation and Sports, Canada
• Projects Scholarship, $4,5000, Hydro Quebec, QC, Canada

Peer-Reviewed Publications

• Md Jahidur Rahman, Mouctar Tchakala, Mamadou Lamine Doumbia, Tahar Tafticht. Control algorithm designed for a wind based energy storage system. Journal of Electrical Systems. Volume 20, Issue 3, (2024): 369-381, ISSN 1112-5209. https://journal.esrgroup.org/jes/papers/20_3_10.pdf.
• Tchakala, Mouctar, Tahar Tafticht, Iqbal Messaïf and Md Jahidur Rahman (2024). Regression Learner Application Model Based Short-Term Load Forecasting for Mascouche (Quebec, Canada). Journal of Energy – Energija 73.2 (2024):13-20.
• M.J. Rahman, T. Tafticht, and M.L. Doumbia. Power Converters Analyzed in Energy Storage Systems to Enhance the Performance of Smart Grid Applications. International Journal of Power Electronics and Drive Systems. Vol. 15, No. 2, June
  2024, pp. 913~924 ISSN: 2088-8694, doi: 10.11591/ijpeds.v15.i2.pp913-924.
• Tchakala, Mouctar, Tahar Tafticht, and Jahidur Rahman. “Multi-layered perceptron network for short-term load forecasting.” Journal of Physics: Conference Series. Vol. 2689. No. 1. IOP Publishing, 2024. DOI: 10.1088/1742-6596/2689/1/012005.
• Rahman, M.J.; Tafticht, T.; Doumbia, M.L.; Messaïf, I. Optimal Inverter Control Strategies for a PV Power Generation with Battery Storage System in Microgrid. Energies 2023,16,4228. https://doi.org/10.3390/en16104228.
• Md Jahidur Rahman, Tahar Tafticht, Mouctar Tchakala, Mamadou Lamine Doumbia, “Enhancing Power Distributed Generation with Storage Systems for Sustainable Energy Integration”, 2 nd Electrical Engineering International Conference (EEIC’23), University of Bejaia (Algeria), December 05-06, 2023. (accepted).
• Tchakala, Mouctar, Tahar Tafticht, and Md Jahidur Rahman. “An Efficient Approach for Short-Term Load Forecasting Using the Regression Learner Application.” 2023 4th International Conference on Clean and Green Energy Engineering (CGEE). Ankara, Turkiye, 2023, pp. 31-34, doi: 10.1109/CGEE59468.2023.10351847.
• Tahar Tafticht, Mouctar Tchakala, Md Jahidur Rahman (2022).”GMPPT Approach for Photovoltaic Systems under Partial Shading Conditions Using Genetic Algorithm, “International Journal of Power Electronics and Drive Systems (IJPEDS), Vol 13, No 2, DOI: 10.11591/ijpeds.v13.i2.pp1238-1245
• Rahman, M.J.; Tafticht, T.; Doumbia, M.L.; Mutombo, N.M.-A. Dynamic Stability of Wind Power Flow and Network Frequency for a High Penetration Wind-Based Energy Storage System Using Fuzzy Logic Controller. Energies 2021, 14, 4111.
  https://doi.org/10.3390/en14144111
• M. J. Rahman, T. Tafticht and M. L. Doumbia, “Frequency Control for a High Penetration Wind-Based Energy Storage System in the Power Network,” 2020 IEEE Electric Power and Energy Conference (EPEC), Edmonton, AB, Canada, 2020, pp. 1-
  6, doi: 10.1109/EPEC48502.2020.9320083.
• M. J. Rahman, T. Tafticht, and M. L. Doumbia (2020). “Distributed Generation Power Stability and Control Techniques of Frequency for a High Penetration Wind-Based Energy Storage System Using Integral Derivative Based PID Controller,” in Canadian Journal of Electrical and Computer Engineering (CJECE), December 2020, 10.1109/ICJECE.2021.3103524.
• Rahman, Md Jahidur (2017). Frequency control in the presence of renewable energy sources in the power network. Electronic master’s thesis, Montreal, École de technologie supérieure.
• Rahman, M. H., Rahman, M. J., Cristobal, O. L., Saad, M., Kenne, J. P., & Archambault, P. S. (2014). Development of a Whole arm Wearable Robotic Exoskeleton for Rehabilitation and to Assist Upper Limb Movements. Robotica, 2014,1-21, online: DOI: http://dx.doi.org/10.1017/S0263574714000034.
• Rahman, M. H., Cristobal, O. L., Rahman, M. J., Saad, M., & Archambault, P. S. (2014). ‘Force-position control of a robotic exoskeleton to provide upper extremity movement assistance’. Int. J. Modelling Identification and Control, 21(4), pp.390-400.
• Rahman, M. H., Rahman, M. J., Saad, M., Cristobal, O. L., & Archambault, P. S. (2013). ‘Control of an Upper Extremity Exoskeleton Robot to Provide Active Assistive Therapy’, International Conference on Modeling, Identification and Control (ICMIC 2013), Egypt. Page(s): 105-110.”