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Home | Seminars and Symposia | Past seminars/symposia: Tuesday, May 21, 2013

DTC Seminar Series

Monitoring and Optimization for Smart Power Grids, Part I


Georgios B. Giannakis, Vassilis Kekatos, and Nikolaos Gatsis
University of Minnesota

Tuesday, May 21, 2013
5:15–7:05 pm

402 Walter Library

The pressing need to modernize the aging power grid has culminated into the smart grid vision, which entails the widespread use of state-of-the-art sensing, control, and communication technologies. The deployment of these smart technologies calls for novel grid monitoring and optimization techniques. This tutorial focuses on how current research challenges in power grid monitoring and optimization can be addressed through signal processing, communications, and networking toolboxes. After an overview of fundamental power engineering concepts, a wide range of modern research topics will be presented, including power system state estimation, phasor measurement units, line outage identification, price and load forecasting, economic operation of power systems, demand response, electric vehicles, and renewable energy management.



Georgios B. Giannakis


Vassilis Kekatos


Nikolaos Gatsis

Georgios B. Giannakis (IEEE Fellow '97) received his Diploma in Electrical Engr. from the Ntl. Tech. Univ. of Athens, Greece, 1981. From 1982 to 1986 he was with the Univ. of Southern California (USC), where he received his MSc. in Electrical Engineering, 1983, MSc. in Mathematics, 1986, and Ph.D. in Electrical Engr., 1986. Since 1999 he has been a professor with the Univ. of Minnesota, where he now holds an ADC Chair in Wireless Telecommunications in the ECE Department, and serves as director of the Digital Technology Center.

His general interests span the areas of communications, networking and statistical signal processing — subjects on which he has published more than 350 journal papers, 580 conference papers, 20 book chapters, two edited books and two research monographs (h-index 103). Current research focuses on sparsity and big data analytics, wireless cognitive radios, mobile ad hoc networks, renewable energy, power grid, gene-regulatory, and social networks. He is the (co-) inventor of 21 patents issued, and the (co-) recipient of 8 best paper awards from the IEEE Signal Processing (SP) and Communications Societies, including the G. Marconi Prize Paper Award in Wireless Communications. He also received Technical Achievement Awards from the SP Society (2000), from EURASIP (2005), a Young Faculty Teaching Award, and the G. W. Taylor Award for Distinguished Research from the University of Minnesota. He is a Fellow of EURASIP, and has served the IEEE in a number of posts, including that of a Distinguished Lecturer for the IEEE-SP Society.

Vassilis Kekatos (IEEE Member '10) received his Diploma, M.Sc., and PhD in Computer Engineering & Informatics from the Univ. of Patras, Greece, in 2001, 2003, and 2007, respectively. He is currently a postdoctoral associate with the ECE Dept. at the Univ. of Minnesota. In 2009, he received the Marie Curie fellowship. During the summer of 2012, he worked as a consultant for Windlogics Inc, a company for providing forecasting and optimization solutions for sustainable power systems. His research interests lie in the areas of statistical signal processing with emphasis on power grid applications, compressive sampling, and wireless communications.

Nikolaos Gatsis (IEEE Member '12) received his Diploma degree in Electrical and Computer Engineering from the University of Patras, Greece, in 2005 with honors. He completed his graduate studies at the University of Minnesota, where he received the M.Sc. degree in Electrical Engineering in 2010, and the Ph.D. degree in Electrical Engineering with minor in Mathematics in 2012. He is currently a Postdoctoral Research Associate with the Department of Electrical and Computer Engineering at the University of Minnesota. He was a Research Intern at Mitsubishi Electric Research Laboratories, Boston, MA, during the summer of 2011. His research interests lie in the areas of smart power grids, renewable energy management, wireless communications and networking, with an emphasis on optimization methods and resource management.