Luigi Vanfretti

Associate Professor, Electrical, Computer, and Systems Engineering

Luigi Vanfretti (SMIEEE’14) obtained the M.Sc. and Ph.D. degrees in electric power engineering at Rensselaer Polytechnic Institute, Troy, NY, USA, in 2007 and 2009, respectively. He was with KTH Royal Institute of Technology, Stockholm, Sweden, as Assistant 2010-2013), and Associate Professor (Tenured) and Docent (2013-2017/August); where he lead the SmarTS Lab and research group. He also worked at Statnett SF, the Norwegian electric power transmission system operator, as consultant (2011 - 2012), and Special Advisor in R&D (2013 - 2016). He joined Rensselaer Polytechnic Institute in August 2017, to continue to develop his research and laboratory, ALSETLab. His research focuses on "electrified systems" (e.g. from power grids to electrified aircraft), developing cyber-physical models for stability analysis and control design, measurement data-based methods for analysis and control (including machine learning), and the implementation and testing of software tools and hardware prototypes. His research interests are in the area of cyber-physical system modeling, simulation, stability and control; with applications to power and energy systems, power electronics and more recently, transport electrification, including hybrid-electric propulsion for aircraft and electrical vertical take-off and landing (eVTOL).

  • Post Doc., Rensselaer Polytechnic Institute, 2010. 

  • Ph.D in Electric Power Engineering, Rensselaer Polytechnic Institute, 2009. 

  • MSc in Electric Power Engineering, Rensselaer Polytechnic Institute, 2007. Major: Electric Power. Minor: Control Systems.

  • Visiting Researcher, The University of Glasgow, Fall 2005.

  • Electrical Engineering Degree, Universidad de San Carlos de Guatemala, Spring 2005.

Research Focus
  • electric power engineering
  • power systems
  • system identification
  • electrified transportation
  • modeling and simulation of cyber-physical systems
  • real-time hardware-in-the-loop simulation
  • synchrophasor measurements
  • eVTOL
  • electrified aircraft
Select Works
  • M. Podlaski, L. Vanfretti, A. Khare, M. Sumption, and P. Ansell, “Multi-Domain Modeling and Simulation of High Temperature Superconducting Transmission Lines under Short Circuit Fault Conditions,” IEEE Transactions on Transportation Electrification, IEEE Transactions on Transportation Electrification, doi: 10.1109/TTE.2021.3131271. Special Issue on Electrified Aircraft Technologies.
  • Prottay M. Adhikari, Hossein Hooshyar, Randall J. Fitsik, Luigi Vanfretti, “Precision timing and communication networking experiments in a real-time power grid hardware-in-the-loop laboratory,” Sustainable Energy, Grids and Networks, 2021, 100549, ISSN 2352-4677.
  • C. Mishra, L. Vanfretti and K. D. Jones, “Synchrophasor Phase Angle Data Unwrapping Using an Unscented Kalman Filter,” in IEEE Transactions on Power Systems, vol. 36, no. 5, pp. 4868-4871, Sept. 2021, doi: 10.1109/TPWRS.2021.3089027.
  • B. Mukherjee, M. de Castro Fernandes, L. Vanfretti, “A PMU-Based Control Scheme for Islanded Operation and Re-synchronization of DER,” International Journal of Electrical Power & Energy Systems, Volume 133, 2021, 107217, ISSN 0142-0615,
  • Sjoerd Boersma, Xavier Bombois, Luigi Vanfretti, Juan-Carlos Gonzalez-Torres, Abdelkrim Benchaib, "Probing signal design for enhanced damping estimation in power networks," International Journal of Electrical Power & Energy Systems, Volume 129, 2021, 106640, ISSN 0142-0615,
  • F. Fachini, L. Vanfretti, M. de Castro, and T. Bogodorova, and G. Laera “Modeling and Validation of Renewable Energy Sources in the OpenIPSL Modelica Library,” 47th Annual Conference of the IEEE Industrial Electronics Society (IECON), October 13-16, 2021.
  • M. Podlaski, L. Vanfretti, J. Monteneiri, A. Khare, J. Lewin and E. Segall, “Towards VR-based Early Design Interaction for Electric Vertical Take-off & Landing (eVTOL) Cyber-Physical Models,” NAFEMS World Congress 2021, Salzburg, Austria, October 25-29, 2021.
  • S.A. Dorado-Rojas, T. Bogodorova, and L. Vanfretti, “Time Series-Based Small-Signal Stability Assessment using Deep Learning,” The 53rd North American Power Symposium (NAPS 2021), November 14-16, 2021, College Station, Texas, USA.