Speaker: Prof. Anna Scaglione Faculty Host: Professor Gil Zussman
Abstract: The past ten years of research had produced a variety of models for managing flexible electric loads, by enabling a more efficient dynamic pricing of electricity that would alleviate congestion in the grid. Many believe that this is a necessary component to support integration of renewable power. However, real change has been hard to come by in practice. The goal of this talk is to review such models, highlighting the difference between distributed algorithms, that seek to decompose the problem, and aggregate representations that map large populations of flexible loads onto spinning reserves, to interface the whole sale electricity market. The objective is to highlight the challenges that exist in transforming and remaining compatible with the established retail and wholesale market practices and how new abstractions may be necessary to rip the benefits of flexible load as a viable alternative to bulk power storage.
Bio: Anna Scaglione (M.Sc.'95, Ph.D. '99) is currently a professor in electrical and computer engineering at Arizona State University. She was Professor of Electrical Engineering previously at the at UC Davis (2010-2014), Associate Professor at UCD 2008-2010 and at Cornell (2006-2008), and Assistant Professor at Cornell (2001- 2006) and at the University of New Mexico (2000-2001). Her expertise is in the broad area of statistical signal processing for communication, electric power systems and networks. Dr. Scaglione was elected an IEEE fellow in 2011. She served as Associate Editor for the IEEE Transactions on Wireless Communications and on Signal Processing, as EiC of the IEEE Signal Processing letters. She was member of the Signal Processing Society Board of Governors from 2011 to 2014. She received the 2000 IEEE Signal Processing Transactions Best Paper Award and more recently was honored for the 2013, IEEE Donald G. Fink Prize Paper Award for the best review paper in that year in the IEEE publications, her work with her student earned 2013 IEEE Signal Processing Society Young Author Best Paper Award (Lin Li). She is one of the IEEE SPS 2019-2020 Distinguished Lecturers.