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).

Education
  • 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
  • Luigi Vanfretti, Svein H. Olsen, V.S. Narasimham Arava, Giuseppe Laera, Ali Bidadfar, Tin Rabuzin, Sigurd H. Jakobsen, Jan Lavenius, Maxime Baudette, Francisco J. Gómez-López, An open data repository and a data processing software toolset of an equivalent Nordic grid model matched to historical electricity market data, In Data in Brief, Volume 11, 2017, Pages 349-357, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2017.02.021. (http://www.sciencedirect.com/science/article/pii/S2352340917300409) Keywords: Electrical power systems; Electric power transmission; Smart grid; Power system modeling and simulation; Power system dynamics; Dynamic simulations; Power flow; Common Information Model (CIM); Modelica; Historical market data; Modeling; Simulation
  • Luigi Vanfretti, Maxime Baudette, Achour Amazouz, Tetiana Bogodorova, Tin Rabuzin, Jan Lavenius, Francisco José Goméz-López, RaPId: A modular and extensible toolbox for parameter estimation of Modelica and FMI compliant models, SoftwareX, Volume 5, 2016, Pages 144-149, ISSN 2352-7110, https://doi.org/10.1016/j.softx.2016.07.004. (http://www.sciencedirect.com/science/article/pii/S235271101630019X) Keywords: FMI; Modelica; Model validation; System identification
  • L. Vanfretti, T. Rabuzin, M. Baudette, M. Murad, iTesla Power Systems Library (iPSL): A Modelica library for phasor time-domain simulations, SoftwareX, Volume 5, 2016, Pages 84-88, ISSN 2352-7110, https://doi.org/10.1016/j.softx.2016.05.001. (http://www.sciencedirect.com/science/article/pii/S2352711016300097) Keywords: Modelica; Power system; Simulation
  • T. Bogodorova, D. Osipov and L. Vanfretti, “Automated Design of Realistic Contingencies for Big Data Generation,” in IEEE Transactions on Power Systems, doi: 10.1109/TPWRS.2020.3020726. Publisher’s website: https://ieeexplore.ieee.org/document/9184137 Author’s copy: https://ecse.rpi.edu/~vanfrl/documents/publications/journal/J074_TBDOLV_bigdatageneration.pdf
  • E. Rebello, L. Vanfretti and M. S. Almas, "Experimental Testing of a Real-Time Implementation of a PMU-Based Wide-Area Damping Control System," in IEEE Access, vol. 8, pp. 25800-25810, 2020. doi: 10.1109/ACCESS.2020.2970988 Publisher’s Website: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8977519&isnumber=8948470 Author’s copy: https://ecse.rpi.edu/~vanfrl/documents/publications/journal/J070_PMU_WACS_DampingControl.pdf
  • M. Podlaski, L. Vanfretti, H. Nademi and H. Chang, “UAV Dynamic System Modeling and Visualization using Modelica and FMI,” The Vertical Flight Society's 76th Annual Forum & Technology Display, Virginia Beach Convention Center on Oct. 6-8, 2020. Publisher’s Website: pending. Author’s Copy: https://ecse.rpi.edu/~vanfrl/documents/publications/conference/2020/CP174_Drone_Modelica_and_FMI.pdf Github Repository: https://github.com/ALSETLab/Modelica-Drone-3D-FMI
  • X. Jia, P. M. Adhikari, and L. Vanfretti, “Real-Time Simulation Models for PV Cells and Arrays in Opal-RT and Typhoon-HIL,” 2020 IEEE PES General Meeting, 2-6 August, Montréal, Québec, Canada. Publisher’s Website: pending. Author’s copy: https://ecse.rpi.edu/~vanfrl/documents/publications/conference/2020/CP173_Cici_RT_PV_Models.pdf