Civil and Environmental Engineering

Electric vehicles in the smart grid: Optimization & control

September 29, 2017

12:00 p.m. - 1:20 p.m. ET

Gates Hall 4401

Abstract

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, and a short description of new project-based courses on Design of Cyber-Physical Systems taught at UC Berkeley.

Bio

Scott Moura is an Assistant Professor at the University of California, Berkeley in Civil & Environmental Engineering. He is also Director of eCAL, Faculty Scientist at Lawrence Berkeley National Laboratory, and PI at the Tsinghua-Berkeley Shenzhen Institute. He received the PhD degree from the University of Michigan in 2011, the MS degree from the University of Michigan in 2008, and the BS degree from the UC Berkeley, in 2006 - all in Mechanical Engineering. Moura was a postdoctoral scholar at UC San Diego in the Cymer Center for Control Systems and Dynamics, and a visiting researcher in the Centre Automatique et Systèmes at MINES ParisTech in Paris, France.

Moura is a recipient of the O. Hugo Shuck Best Paper Award, Carol D. Soc Distinguished Graduate Student Mentoring 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, and 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.

All seminars are open to the campus community. The use of electronic devices is prohibited during seminar. 

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