Biography:
Alvaro Ortega graduated from The Higher Technical School of Industrial Engineering, University of Castilla - La Mancha (Spain) in 2013 with the Electrical and Electronic Itinerary, and graduated with honors in his Final Project. He received his PhD in Electrical Engineering from University College Dublin (Ireland) in 2017, with the thesis entitled "Dynamic Modeling, Control and Stability Analysis of VSC-based Energy Storage Systems". Alvaro Ortega Manjavacas is, since September 2020, Senior Power Systems Researcher IIT - Comillas Pontifical University, and previously was with LOYOLATech at University Loyola Andalucia (Jan. - Sept. 2020) and with the School of Electrical and Electronic Engineering in University College Dublin (Sept. 2013 - Dec. 2019). His current fields of research include modeling, control and stability of energy storage systems connected to transmission and distribution systems; and frequency estimation, control and stability in low-inertia systems.
Areas of interest:
Modeling, control and stability of energy storage systems connected to transmission and distribution systems; and frequency estimation, control and stability in low-inertia systems.
JCR: 5,400 Q1 (2022); 4,800 Q1 (2023) - SJR: 1,225 Q1 (2022); 1,232 Q1 (2023) 
Chamorro, H.R., Guel-Cortez, A.J., Kim, E., Gonzalez-Longatt, F., Ortega, A., Martínez, W., Information length quantification and forecasting of power systems kinetic energy. IEEE Transactions on Power Systems. Vol. 37, nº. 6, pp. 4473 - 4484, November 2022. [Online: January 2022]
JCR: 6,600 Q1 (2022); 6,500 Q1 (2023) - SJR: 3,726 Q1 (2022); 3,827 Q1 (2023) Santurino, P., Sigrist, L., Ortega, A., Renedo, J., Lobato, E., Optimal coordinated design of under-frequency load shedding and energy storage systems. Electric Power Systems Research. Vol. 211, pp. 108423-1 - 108423-8, October 2022. [Online: July 2022]
JCR: 3,900 Q2 (2022); 3,300 Q2 (2023) - SJR: 1,099 Q1 (2022); 1,029 Q1 (2023) 
Milano, F., Liu, M., Murad, M.A.A., Jónsdóttir, G.M., Tzounas, G., Adeen, M., Ortega, A., Dassios, I., Power system modelling as stochastic functional hybrid differential-algebraic equations. IET Smart Grid. Vol. 5, nº. 5, pp. 309 - 331, October 2022. [Online: May 2022]
JCR: 2,400 Q2 (2023) - SJR: 0,921 Q1 (2022); 0,792 Q2 (2023) Oladimeji, O., Ortega, A., Sigrist, L., Rouco, L., Sánchez, P., Lobato, E., Optimal participation of heterogeneous, RES-based virtual power plants in energy markets. Energies. Vol. 15, nº. 9, pp. 3207-1 - 3207-18, May 2022. [Online: April 2022]
JCR: 3,200 Q3 (2022); 3,000 Q3 (2023) - SJR: 0,632 Q1 (2022); 0,651 Q1 (2023)
JCR: 7,326 Q1 (2021); 6,500 Q1 (2023) - SJR: 4,638 Q1 (2021); 3,827 Q1 (2023)
JCR: 7,326 Q1 (2021); 6,500 Q1 (2023) - SJR: 4,638 Q1 (2021); 3,827 Q1 (2023)
JCR: 6,663 Q1 (2020); 6,500 Q1 (2023) - SJR: 3,312 Q1 (2020); 3,827 Q1 (2023)
JCR: 6,074 Q1 (2019); 6,500 Q1 (2023) - SJR: 3,434 Q1 (2019); 3,827 Q1 (2023)
JCR: 6,807 Q1 (2018); 6,500 Q1 (2023) - SJR: Q1 (2018); 3,827 Q1 (2023)
JCR: 6,807 Q1 (2018); 6,500 Q1 (2023) - SJR: Q1 (2018); 3,827 Q1 (2023)
JCR: 6,807 Q1 (2018); 6,500 Q1 (2023) - SJR: Q1 (2018); 3,827 Q1 (2023)
JCR: 5,255 Q1 (2017); 6,500 Q1 (2023) - SJR: Q1 (2017); 3,827 Q1 (2023)
JCR: 5,255 Q1 (2017); 6,500 Q1 (2023) - SJR: Q1 (2017); 3,827 Q1 (2023)
JCR: 5,680 Q1 (2016); 6,500 Q1 (2023) - SJR: Q1 (2016); 3,827 Q1 (2023) 
