Biography:
Miguel Martínez obtained his Bachelor's Degree in Engineering for Industrial Technologies (electrical power systems study line) in 2019 from the ICAI School of Engineering at Comillas Pontifical University. Subsequently, he studied for an International Double Degree through the T.I.M.E. network graduating in 2022 with a MSc in Wind Energy from the Technical University of Denmark (DTU) and a Master's Degree in Industrial Engineering from the ICAI School of Engineering at Comillas Pontifical University, both with a specialization in electrical power systems. During his stay at DTU, he did his master's thesis in collaboration with Siemens Gamesa developing generic electrical simulation models for wind farms. In March 2022, he joined the Smart and Sustainable Grids area at the Institute for Research in Technology (IIT) as a research assistant. He researches integrating electric vehicles and distributed energy resources (DERs) in electric power distribution networks. Previously, he had collaborated with the IIT as a visiting student during the 2019-2020 academic year in a joint project with the University of Deusto, where the impact of the electrification of vehicle fleets on the electricity grid was studied.
Areas of interest:
Electric power systems, renewable energies, and e-mobility.
Experience:
Visiting student at Institute for Research in Technology (IIT), Comillas Pontifical University, June 2019 - July 2020.
Skills:
MATLAB - Simulink, Python, DIgSILENT PowerFactory, GAMS, Julia.
Current research interests:
Electrical distribution network planning with demand flexibility, smart charging, and grid integration of distributed energy resources (DERs).
Martínez, M., Moreno, A., Angulo, I., Mateo, C., Masegosa, A.D., Perallos, A., Frías, P., Assessment of the impact of a fully electrified postal fleet for urban freight transportation. International Journal of Electrical Power & Energy Systems. Vol. 129, pp. 106770-1 - 106770-13, July 2021. [Online: February 2021] 
JCR: 5,659 Q1 (2021); 5,200 Q1 (2022) - SJR: 1,544 Q1 (2021); 1,533 Q1 (2022) 
