Dr. Mehdi Shafiee | Power System | Editorial Board Member
Faculty Member at Technical and Vocational University | Iran
Dr. Mehdi Shafiee is a committed researcher in advanced power and energy systems, with notable contributions to power system flexibility, resiliency, smart grids, renewable energy integration, and intelligent energy management. His work focuses on probabilistic modeling, robust and multi-objective optimization, and advanced control strategies for modern power networks involving electric vehicles, distributed generation, and hybrid renewable systems. He has contributed extensively to areas such as transactive energy scheduling, load frequency control using fractional-order fuzzy and adaptive PID controllers, microgrid energy management via multi-agent systems, voltage stability enhancement, and flexibility-based approaches to unit commitment under uncertainty. His research portfolio includes impactful publications in international journals and conferences, covering themes like ancillary service market participation by electric vehicles, dynamic assessment of hybrid wind–PV–battery systems, optimal resource scheduling, and innovative methods for distributed generation placement. He has also co-authored books offering foundational and practical knowledge on electric circuits and power distribution system design. With 89 citations, 18 publications, an h-index of 5, and recognition through 84 citing documents, Dr. Shafiee has established a growing research footprint. His academic and scholarly contributions reflect a strong commitment to advancing sustainable, resilient, and smart energy systems aligned with the evolving demands of modern power grids.
Profiles: Scopus | Google Scholar
Featured Publications
Esmaeili, S., & Shafiee, M. (2012). Simulation of dynamic response of small wind-photovoltaic-fuel cell hybrid energy system. Smart Grid and Renewable Energy, 3(3), 194.
Shafiee, M., Ghazi, R., & Moeini-Aghtaie, M. (2019). Day-ahead resource scheduling in distribution networks with presence of electric vehicles and distributed generation units. Electric Power Components and Systems, 47(16–17), 1450–1463.
Estabragh, M. R., Mohammadian, M., & Shafiee, M. (2012). A novel approach for optimal allocation of distributed generations based on static voltage stability margin. Turkish Journal of Electrical Engineering and Computer Sciences, 20(7), 1044–1058.
Shafiee, S. S., & Shafiee, M. (2009). Dynamic performance of Wind/PV/Battery/Fuel-cell hybrid energy system. Journal of International Review on Modelling and Simulation, 2.
Shafiee, M., Vahidi, B., Hosseinian, S. H., & Jazebi, S. (2008). Using artificial neural network to estimate maximum overvoltage on cables with considering forward and backward waves. In Proceedings of the 43rd International Universities Power Engineering Conference (pp. 1–8). IEEE.