University of Minnesota
University Relations
http://www.umn.edu/urelate
612-624-6868
myU OneStop


Go to unit's home.

Home | Seminars and Symposia | Past seminars/symposia: Wednesday, May 6, 2015

DTC Seminar Series

Closing the Loop Around Data for Low-Carbon Power Systems

by

Le Xie
Department of Electrical and Computer Engineering
Texas A&M University

Wednesday, May 6, 2015
4:30 p.m. reception
5:00 p.m. seminar

401/402 Walter Library

Le Xie

The electricity grid is transforming itself from a hierarchical, passive, and sparsely-sensed engineering system into a flat, active, and ubiquitously-sensed cyber-physical system. The emerging multi-scale data from synchrophasors, smart meters, and electricity markets offers tremendous opportunities as well as scientific challenges to dynamically learn and adaptively control a smart grid.

The first part of the talk presents the dimensionality reduction of real-world synchrophasor (PMU) data. An early anomaly detection and classification algorithm is proposed based on the switch of the core subspace. Justification of this algorithm is provided using linear dynamical system theory. This could be further leveraged for early mitigation of anomalies such as wind-induced subsynchronous oscillations. The second part of the talk proposes a transfer function approach to modeling price responsive demand. Based on empirical study of demand elasticity in Texas, we suggest that modeling and identification of price responsive demand as transfer functions could well capture the two-regime inter-temporal characteristics of electric loads. This talk concludes with several open interdisciplinary research opportunities that would synergistically contribute towards a low-carbon smart grid.

 

Le Xie is an Assistant Professor in the Department of Electrical and Computer Engineering at Texas A&M University. He received B.E. in Electrical Engineering from Tsinghua University in 2004, S.M. in Engineering Sciences from Harvard in 2005, and Ph.D. in Electrical and Computer Engineering from Carnegie Mellon in 2009. His industry experience includes internships at ISO-New England and Edison Mission Energy Marketing and Trading. His research interest includes modeling and control in data-rich large-scale systems, grid integration of low-carbon energy resources, and electricity markets.

Dr. Xie received the National Science Foundation CAREER Award, and the Department of Energy Ralph E. Powe Junior Faculty Enhancement Award. He was Texas A&M Engineering Select Young Fellow in 2013. He is an Editor of IEEE Transactions on Smart Grid, and the founding chair of IEEE Power and Energy Society Working Group on Big Data Analytics for Grid Operations. He and his students received the Best Paper awards at North American Power Symposium and IEEE SmartGridComm 2012. He is the founding faculty advisor of A&M Energy Club.