Dr. Wanrong Tang delivers lecture in TBSI

2017-07-04

Dr. Wanrong Tang from The ChineseUniversity of Hong Kong was invited by Assistant Professor Scott Moura to visitTsinghua-Berkeley Shenzhen Institute (TBSI) and delivers a lecture entitled" Online Charging Scheduling Algorithms of Electric Vehicles in Smart Grid"at the lecture hall of TBSI at 11:00 on July 3, 2017.

On the lecture, Dr. Wanrong Tang pointedout that As an environment-friendly substitute for conventional fuel-poweredvehicles, Electric Vehicles (EVs) and their components have been widelydeveloped and deployed worldwide. The large-scale integration of EVs into powergrid brings both challenges and opportunities to the system performance.Evidently, uncontrolled EV charging could lead to inefficient power networkoperation or even security issues. This has spurred on enormous researchinterest in designing charging coordination mechanisms. A key design challengehere lies in the lack of complete knowledge of data in the future. Indeed, theknowledge of future data significantly impacts the design of efficient chargingcontrol algorithms. In this talk, I am going to introduce two online EVcharging scheduling algorithms that deal with different degrees of uncertaintyand randomness of future data. In particular, I will talk about how to exploresome unique features of the charging behaviors of EVs to improve the generalonline algorithms for better performance and lower complexity. I will also showthe performance of two online EV charging scheduling algorithms in boththeoretic analysis and simulations.

Dr.Wanrong Tang received her B.Eng. degree with honors from the Yingcai HonorsCollege, University of Electronic Science and Technology of China in 2011, andher Ph.D. degree from the Information Engineering Department, The ChineseUniversity of Hong Kong in 2016. She is currently a research fellow withInformation Engineering Department at The Chinese University of Hong Kong. Shewill join École polytechnique fédérale de Lausanne (EPFL) as a Postdoc in Sept.2017. Her current research interests include online scheduling, learning theoryand stochastic optimization in smart grid, intelligent transportation networkand smart city. She received the Best Paper Award of IEEE SmartGridComm 2013and a Student Travel Grant from the IEEE Communication Society in 2013.

Writer: Jiaqi Ji