Massively digitized power grid: Opportunities, dangers, and challenges
Tuesday, May 14, 2019 at 10:30am to 12:00pm
Building E19, 319
400 MAIN ST, Cambridge, MA 02142
Massively digitized power grid: Opportunities, dangers, and challenges with Le Xie, Professor and Eugene Webb Faculty Fellow, Texas A&M University
Driven by major trends such as decarbonization and electrification of vehicles, the electric power sector across the globe is moving to a future where massive digitization and information flow is used to compensate for the resulting reduced operating reserves. Such digitization presents both major opportunities and major dangers. Exploiting the former while combatting the latter will require an appropriate combination of market mechanisms and regulatory frameworks to realize technological solutions that are becoming available.
Xie will illustrate the opportunities presented by digitization through a risk-quantifiable, market-clearing mechanism that incorporates massive renewables and aggregates demand response from individual end users. He will also examine the dangers of digitization with a look at cyberattacks on automatic generation control (AGC) in power systems through malicious interception and manipulation of information flow over feedback loops. For both, Xie will present technological solutions. The challenge that arises is the development of an appropriate framework of market mechanisms and regulations so that the needed investments are made by the appropriate stakeholders to implement the technological solutions, and thus realize the potential of the massively digitized power grid.
This event is open to MIT students, faculty, and staff only.
Please note that we will open our doors to unregistered participants 15 minutes before the event start time. To guarantee your seat, we recommend you register and arrive at least 15 minutes early.
About the speaker:
Dr. Le Xie is a professor and Eugene Webb Faculty Fellow in the Department of Electrical and Computer Engineering at Texas A&M University. He received a BE in electrical engineering from Tsinghua University in 2004, an SM in engineering sciences from Harvard in 2005, and a Ph.D. in electrical and computer engineering from Carnegie Mellon in 2009. His industry experience includes ISO-New England and Edison Mission Energy Marketing and Trading. His research interests include modeling and control in data-rich large-scale systems, grid integration of clean energy resources, and electricity markets.
Xie has received the U.S. National Science Foundation CAREER Award, DOE Oak Ridge Ralph E. Powe Junior Faculty Enhancement Award, and the 2017 IEEE PES Outstanding Young Engineer Award. He was also the recipient of the Texas A&M Dean of Engineering Excellence Award, the ECE Outstanding Professor Award, and a TEES Select Young Fellow. He is an editor of IEEE Transactions on Smart Grid and the founding chair of IEEE PES Subcommittee on Big Data & Analytics for Grid Operations. He and his students received the “Best Paper” awards at the 2012 North American Power Symposium, IEEE SmartGridComm 2013, and HICSS 2019. He chaired the 2018 NSF Workshop on Real-time Learning and Decision Making in Dynamical Systems.