ECE Seminar Series

Speaker Name: 
Anna Scaglione
Speaker Title: 
Professor of Electrical Computer and Energy Engineering
Speaker Organization: 
Arizona State University
Start Time: 
Monday, October 7, 2019 - 10:40am
End Time: 
Monday, October 7, 2019 - 11:45am
Location: 
Engineering 2 - 192
Organizer: 
ECE

Title

On Modeling Dis-patchable Electric Loads in Grid Operations

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 electric 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 of Electrical, Computer and Energy Engineering at Arizona State University. She was Professor of Electrical and Computer Engineering previously at the University of California at Davis (2008-2014) and at Cornell University (2001-2008), where she became Associate Professor with tenure in 2006. Prior to joining the engineering faculty at Cornell, Scaglione was an Assistant Professor at the University of New Mexico (2000-2001). Dr. Scaglione’s expertise is in the broad area of statistical signal processing with application to communication networks, electric power systems/intelligent infrastructure and network science. She was elected as Fellow of IEEE in 2011, honored by both the Signal Processing and the Communication Societies. 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).

Event Type: 
Event