Tutorial 5: Monitoring and Optimization for Smarter Power Grids: A Signal Processing Perspective
Sunday, May 26, 2-5pm
Georgios B. Giannakis, Vassilis Kekatos, Nikolaos Gatsis
The challenges involved in modernizing the power grid urge for innovative solutions that tap into diverse signal processing (SP) techniques from machine learning, optimization, statistics, and network science. The SP community has made significant contributions to communications and networking, and is dynamically entering the emerging fields of upgrading the aging power grid infrastructure and coping with environmental and energy-related issues. The novel expertise gleaned from these research areas, coupled with the solid analytical approach needed to address practical challenges are the best credentials for succeeding in smart grid research and development.
The proposed tutorial aims at (i) delineating the analytical background and the relevance of SP tools to power systems; and (ii) introducing ICASSP 2013 participants to some of the major power engineering challenges and opportunities for SP research. Its scope encompasses conventional power grid operation to current smart grid subjects in a comprehensive and unifying manner. Building on the SP toolbox, and through rigorous problem formulations and intuitive reasoning, concepts are made accessible to ICASSP attendees, potentially not well-versed in power engineering issues.
Georgios B. Giannakis
G. B. Giannakis (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, 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 340 journal papers, 560 conference papers, 20 book chapters, two edited books and two research monographs (h-index 99). Current research focuses on compressive sensing, cognitive radios, cross-layer designs, wireless sensors, social and power grid 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 Univ. 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.
V. Kekatos (IEEE M'10) received his Diploma, M.Sc., and Ph.D. 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. of the Univ. of Minnesota. In 2009, he received a Marie Curie fellowship. During the summer of 2012, he worked as a consultant for Windlogics Inc.
His research interests lie in the area of statistical signal processing with emphasis on power grid applications, compressive sampling, and wireless communications.
N. Gatsis (S'04-M'12) received the Diploma degree in Electrical and Computer Engineering from the Univ. of Patras, Greece, in 2005 with honors. He completed his graduate studies at the Univ. 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 Associate with the Electrical and Computer Engineering Dept. at the Univ. of Minnesota, Minneapolis, MN. He was a Research Intern at Mitsubishi Electric Research Laboratories, Boston, MA, during the summer of 2011.
His research interests are in the areas of smart power grids, renewable energy management, wireless communications, and networking, with an emphasis on optimization methods and resource management.