Biography:
Mohammad Rajabdorri (1993, Fasa, Iran) is currently an Assistant Researcher Collaborator at IIT, a position he has held since 2024. He holds a Bachelor’s degree in Electrical Power Engineering from Shiraz University (2016), and a Master’s degree in Electrical Power Systems from Shiraz University of Technology (2018). In 2020, he began his Ph.D. in Electrical Engineering at IIT, which he successfully defended in 2023. His research interests include isolated power systems, electricity markets, renewable energy dispatch, power system operation, and power system optimization.
Areas of interest:
Isolated power systems, electricity markets, dispatching renewable energies, and power system operation.
M. Sarvarizadeh, M. Rajabdorri, E. Lobato, L. Sigrist, B. Kazemtabrizi, M. Troffaes, "Under frequency load shedding aware unit commitment in island power systems", International Journal of Electrical Power & Energy Systems, Vol. 170, pp. 110884, September 2025. [Online: July 2025] doi: 10.1016/j.ijepes.2025.110884
M. Rajabdorri, M. Troffaes, B. Kazemtabrizi, M. Sarvarizadeh, L. Sigrist, E. Lobato, "Data-driven estimation of the amount of under frequency load shedding in small power systems", Engineering Applications of Artificial Intelligence, Vol. 139, nº. Part B, pp. 109617, January 2025. [Online: November 2024] doi: 10.1016/j.engappai.2024.109617
M. Rajabdorri, E. Lobato, L. Sigrist, j Aghaei, "Data-driven continuous-time framework for frequency-constrained unit commitment", International Journal of Electrical Power & Energy Systems, Vol. 162, pp. 110327, November 2024. [Online: October 2024] doi: 10.1016/j.ijepes.2024.110327
M. Rajabdorri, B. Kazemtabrizi, M. Troffaes, L. Sigrist, E. Lobato, "Inclusion of frequency nadir constraint in the unit commitment problem of small power systems using machine learning", Sustainable Energy, Grids and Networks, Vol. 36, pp. 101161, December 2023. [Online: September 2023] doi: 10.1016/j.segan.2023.101161
M. Sarvarizadeh, L. Sigrist, A. Rouco, M. Rajabdorri, E. Lobato, "A corrective frequency-constrained unit commitment with data-driven estimation of optimal UFLS in island power systems", International Journal of Electrical Power & Energy Systems, Vol. 181, pp. 112154, August 2026. [Online: September 2026] doi: 10.1016/j.ijepes.2026.112154
M. Sarvarizadeh, M. Rajabdorri, E. Lobato, L. Sigrist, B. Kazemtabrizi, M. Troffaes, "Under frequency load shedding aware unit commitment in island power systems", International Journal of Electrical Power & Energy Systems, Vol. 170, pp. 110884, September 2025. [Online: July 2025] doi: 10.1016/j.ijepes.2025.110884
M. Rajabdorri, M. Troffaes, B. Kazemtabrizi, M. Sarvarizadeh, L. Sigrist, E. Lobato, "Data-driven estimation of the amount of under frequency load shedding in small power systems", Engineering Applications of Artificial Intelligence, Vol. 139, nº. Part B, pp. 109617, January 2025. [Online: November 2024] doi: 10.1016/j.engappai.2024.109617
M. Rajabdorri, A. Rouco, L. Sigrist, E. Lobato, "Unit commitment with analytical under-frequency load-shedding constraints for island power systems", IEEE Access, Vol. 12, pp. 72337 - 72344, 2024. [Online: May 2024] doi: 10.1109/ACCESS.2024.3401854
M. Rajabdorri, E. Lobato, L. Sigrist, j Aghaei, "Data-driven continuous-time framework for frequency-constrained unit commitment", International Journal of Electrical Power & Energy Systems, Vol. 162, pp. 110327, November 2024. [Online: October 2024] doi: 10.1016/j.ijepes.2024.110327
M. Rajabdorri, B. Kazemtabrizi, M. Troffaes, L. Sigrist, E. Lobato, "Inclusion of frequency nadir constraint in the unit commitment problem of small power systems using machine learning", Sustainable Energy, Grids and Networks, Vol. 36, pp. 101161, December 2023. [Online: September 2023] doi: 10.1016/j.segan.2023.101161
M. Rajabdorri, E. Lobato, L. Sigrist, "Robust frequency constrained uc using data driven logistic regression for island power systems", IET Generation, Transmission & Distribution, Vol. 16, nº. 24, pp. 5069 - 5083, December 2022. [Online: November 2022] doi: 10.1049/gtd2.12658
M. Rajabdorri, L. Sigrist, E. Lobato, "Liquid air energy storage model for scheduling purposes in island power systems", Energies, Vol. 15, nº. 19, pp. 6958, October 2022. [Online: September 2022] doi: 10.3390/en15196958
M. Rajabdorri, L. Sigrist, E. Lobato, M.C. Prats, F.M. Echavarren, "Viability of providing spinning reserves by RES in Spanish island power systems", IET Renewable Power Generation, Vol. 15, nº. 13, pp. 2878 - 2890, October 2021. [Online: May 2021] doi: 10.1049/rpg2.12216
D. Fuente Pascual, M. Rajabdorri, E. Lobato, L. Sigrist, "Frequency stability assessment of deloaded wind turbines in Spanish island power systems", presented at 4th International Conference on Smart Grid and Renewable Energy - SGRE 2024, Dawhah, Qatar, 08-10 January 2024. In: SGRE 2024: Conference proceedings, pp. 1-6, doi: 10.1109/SGRE59715.2024.10428718
M. Rajabdorri, E. Lobato, L. Sigrist, "Viability of including frequency metrics in short-term scheduling of island power systems", presented at International Conference on Control System, Power and Electrical Engineering - ICCSPEE 2021, Istanbul, Turkey, 05 December 2021. In: International Journal of Industrial Electronics and Electrical Engineering, vol. 10, nº. 1, pp. 10-13