報 告 人：Dr. Le Xie

Texas A&M University, Texas, USA

報告時間：2016年8月29日，星期一，上午10點

報告地點：bevictor伟德官网西主樓3區102

主辦單位：bevictor伟德官网電機系

聯 系 人：鐘海旺

報告内容：

With deep penetration of variable resources such as wind and solar, it is becoming increasingly important to leverage flexibility from demand side. The central difference in the new paradigm compared with conventional operation is that demand response can be highly uncertain with human behavior in the loop. In this talk, we first introduce a dynamic systems approach to modeling price responsive demand at the wholesale level, based on empirical data. We then discuss a possible paradigm of engaging retail-level customers via voluntary Energy Coupon. We conclude the talk with a possible architecture that allows the ISO to achieve social welfare optimum with the presence of stochastic decision making of large number of participants.

報告人簡介：

Dr. Le Xie is an Associate 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 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 clean energy resources, and electricity markets.

Dr. Le Xie received the U.S. National Science Foundation CAREER Award, and DOE Oak Ridge Ralph E. Power Junior Faculty Enhancement Award. He was recipient of Texas A&M Dean of Engineering Excellence Award and TEES Select Young Fellow. He is an Editor of IEEE Transactions on Smart Grid, and the founding chair of IEEE Power and Energy Society Subcommittee on Big Data & Analytics for Grid Operations. He and his students received the Best Paper awards at North American Power Symposium and IEEE Smart Grid Comm. He is the founding faculty advisor of TAMU Energy Club.