讲座预告 || Integrating Renewable Generation and Electric Vehicles

电动汽车真的环保吗?从进入大众视野的那一刻起，电动汽车一直在饱受此类争议。“如何才能让电动汽车用上清洁电?”国家能源局新能源司副司长梁志鹏在7月12日召开的“新能源和电动汽车协同发展圆桌会议”上指出，新能源发电与电动汽车的协同发展将会彻底填补这一空洞。新能源发电与电动汽车的协同发展不仅可以降低新能源限电，又可减少电动汽车综合排放，还可显著提高电力系统运行效率和经济效益，实现多方共赢发展。尽管如此般配，新能源和电动汽车牵手共行依然存在一定的难题，如间歇性可再生发电与电动汽车的集成给电力系统的运行带来的挑战。理工学院邀请了来自香港中文大学的徐云建教授主讲本次讲座，徐教授将与你共同讨论该议题。

引自搜狐新闻http://www.sohu.com/a/158373891_498872

▶Topic: Integrating Renewable Generation and Electric Vehicles

▶ Time: 2017年11月20日 10:30-11:30am.

▶ Venue: Room 208, Chengdao Building

▶ Speaker:  Prof. Yunjian XU

the Chinese University of Hong Kong

Abstract

讲座摘要

The electric power industry is undergoing a worldwide radical transition that is mainly driven by the large-scale adoption of renewable energy resources and plug-in (hybrid) electric vehicles. The integration of intermittent renewable generation and electric vehicles imposes significant challenges to the operation of power systems, and requires new approaches that enable the efficient exploitation of demand flexibility in power distribution systems.

In this talk, I will discuss a new dynamic framework on the scheduling of electric load that is inherently deferrable in time (for example, the charging of many electric vehicles). The hardness in this scheduling problem stems from its dynamic and stochastic nature: it is naturally a sequential decision-making problem under the uncertainty of renewable generation and system load. Through a dynamic programming formulation, we characterize an important structural property of optimal scheduling policies that improves any scheduling policy on a sample-path basis. Under additional (mild) assumptions on the task arrival process, we establish the optimality of the Whittle's index policy when there is always enough capacity to process all the arrived tasks.

Biography

主讲人简介

Yunjian XU received the B.S. and M.S. degrees in Electrical Engineering from Tsinghua University, Beijing, China, in 2006 and 2008, respectively, and the Ph.D. degree from the Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, in 2012. Dr. Xu was a CMI (Center for the Mathematics of Information) postdoctoral fellow at the California Institute of Technology, Pasadena, CA, USA, in 2012-2013. He is an assistant professor in the Department of Mechanical and Automation Engineering, the Chinese University of Hong Kong (CUHK). He was an assistant professor at the Singapore University of Technology and Design in 2013-2017. His research interests lie in power system control and optimization, wholesale electricity market design, and the aggregation of distributed energy resources in power distribution systems. Dr. Xu was a recipient of the MIT-Shell Energy Fellowship.

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