学者论坛:Electric Vehicles in the Smart Grid: Optimization & Control

文:教师发展中心 图:\ / 来源:人力资源部 / 2017-01-11 / 点击量:3716

  人力资源部教师发展中心开展“学者论坛”系列学术活动,定期邀请与我校教师研究领域相关的知名学者,以专题报告的形式与师生分享和研讨最新研究动态和成果,旨在为教师提供学术探讨和交流的平台,开拓教师学术视野。现将第49期论坛安排如下,欢迎广大师生参加。

  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

  三、时 间:2017年1月13日(周五)上午10:00

  四、地 点:清水河校区经管大楼宾诺咖啡

  五、主持人:能源科学与工程学院  黄琦教授

  六、内容简介

  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.

  七、主讲人简介

  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.

  八、主办单位:人力资源部教师发展中心

    承办单位:能源科学与工程学院

 

                      人力资源部教师发展中心

                        2017年1月11日


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