Fran Li
UTK Campus Director
Dr. Li is the UTK Campus Director for CURENT and the James W. McConnell Professor in the Department of Electrical Engineering and Computer Science (EECS) at the University of Tennessee. He is also an adjunct researcher at the Oak Ridge National Laboratory (ORNL). He is a Fellow of IEEE (Class of 2017), a Fellow of IET (2011), a registered Professional Engineer (P.E.) in the state of North Carolina, and a Member of Sigma Xi - The Scientific Research Society. He has been the Editor-In-Chief of IEEE Open Access Journal of Power and Energy (OAJPE) since 2020. Also, he has served as Chair (since 2020) and Vice Chair (2016-2019) of IEEE Power System Operation, Planning and Economics (PSOPE) committee.
He has received a number of research recognitions (e.g., 2016-2017 Highly Cited Paper Award by Applied Energy (IF=8.426) - as corresponding author; IEEE PES PSOPE Technical Committee Prize Paper Award in 2019 - as corresponding author; UTK College of Engineering Research Fellow Awards (or its succeeding variants) three times in 2018, 2015 and 2009; 2011 UTK Chancellor's Award for Professional Promise in Research and Creative Achievement), professional service recognitions (e.g., 2015 IEEE PES Technical Committee Distinguished Service Award, 2017 Excellent Guest EIC of Journal of MPCE, 2017 Excellent Associate Editor of Journal of MPCE, 2018 IEEE PES "Technical Committee of the Year" award as a co-recipient), and teaching recognitions (e.g., 2006 Eta Kappa Nu Outstanding Teacher Award and 2019 UTK College of Engineering Teaching Fellow Award).
Dr. Li received his B.S. and M.S. degrees in Electrical Engineering from Southeast University in Nanjing, China University in 1994 and 1997 respectively. In 2001, he received his Ph.D. degree in Electrical Engineering from Virginia Tech. He has been a faculty member at the University of Tennessee, Knoxville since August 2005.
His current interests include renewable energy integration, distributed energy resources, demand response, energy markets and power system computational methods.
Research Fact Sheet - Large-scale Test BedÂ
