一、主 题：Electric Vehicles in the Smart Grid: Optimization & Control
二、主讲人：加州大学伯克利分校 Scott Moura助理教授
The rapid electrification of the transportation fleet imposes unprecedented demands on the electric grid. If controlled, however, these electric vehicles (EVs) provide an immense opportunity for smart grid services that enable renewable penetration and increased reliability. In this talk we discuss paradigms for aggregating and optimally controlling EV charging. Specifically, we discuss (i) distributed optimization of large-scale EV fleets, (ii) aggregate modeling via partial differential equations, (iii) and plug-and-play model predictive control. The talk closes with future perspectives for EVs in the Smart Grid.
Scott Moura is an Assistant Professor at the University of California, Berkeley in Civil and Environmental Engineering. He received the Ph.D. degree from the University of Michigan in 2011, the M.S. degree from the University of Michigan in 2008, and the B.S. degree from the UC Berkeley, in 2006 - all in Mechanical Engineering. He was a postdoctoral scholar at UC San Diegoin the Cymer Center for Control Systems and Dynamics, and a visiting researcher in the Centre Automatique et Systèmes at MINES ParisTech in Paris, France. He is a recipient of the O. Hugo Shuck Best Paper Award, Hellman Faculty Fellows Award, UC Presidential Postdoctoral Fellowship, National Science Foundation Graduate Research Fellowship, University of Michigan Distinguished ProQuest Dissertation Honorable Mention, University of Michigan Rackham Merit Fellowship, College of Engineering Distinguished Leadership Award. He has received multiple conference best paper awards – as an advisor and student. His research interests include control & estimation theory for PDEs, optimization, machine learning, batteries, electric vehicles, and the smart grid.
编辑：罗莎 / 审核：罗莎 / 发布者：一戈