MBSE Colloquium: Luigi Vanfretti, MBSE for future CPS electrical power systems
Monday, October 31, 2016
1146 AV Williams Building
Model-Based Systems Engineering of Future Cyber-Physical Electrical Power Systems: Challenges and Foundations
KTH Royal Institute of Technology
Luigi Vanfretti (IEEE S'03–M'10–SM'13) received the Electrical Engineering degree from Universidad de San Carlos de Guatemala, Guatemala City, Guatemala, in 2005. He was also a Visiting Researcher with The University of Glasgow, Glasgow, Scotland, in 2005.
He obtained the M.Sc. and Ph.D. degrees in electric power engineering from Rensselaer Polytechnic Institute, Troy, NY, USA, in 2007 and 2009, respectively. For his research and teaching work toward his Ph.D. degree, he was awarded the Charles M. Close Award from Rensselaer Polytechnic Institute.
He became an Assistant Professor with the KTH Royal Institute of Technology, Stockholm, Sweden, in 2010 and was conferred the Swedish title of “Docent” in 2012, and obtained a tenured Associate Professor position in 2013, which he currently holds.
He was the Principal Investigator at KTH for the FP7 EU projects iTesla and IDE4L, and for the NER-funded project STRONgrid, during the period of 2011-2016.
From 2011-2012 he was an external scientific advisor during 2011–2012 at the Research and Development Division of Statnett SF, the Norwegian transmission system operator; where he served from 2013-2014 as Special Advisor in Strategy, and from 2014-2016 as a Special Advisor in R&D Strategy and International Collaboration.
Dr. Vanfretti, served from 2009 to 2016 in the IEEE Power Engineering Society (PES) PSDP Working Group on Power System Dynamic Measurements, in different capacities, including as Chair from 2012016. In addition, from 2009 to 2014, he served as Vice-Chair of the IEEE PES CAMS Task Force on Open Source Software.
He is an advocate and evangelist for free/libre and open-source software.
His research interests are in the general area of power system dynamics, while his main focus is on the development of applications of PMU data.