一、报告题目：Several Optimization Problems in Smart Grid
二、报 告 人：黄廷文 教 授
三、主 持 人：韩渭辛 副教授
四、报告时间：2022年12月16日（周五）下午15:00
五、报告地点：#腾讯会议 438-784-191
六、报告简介：
In a smart grid context, first we will look at the trading optimization problem among Microgrids which benefit all sides. A multi-leaders and multi-followers Stackelberg game model is proposed for energy trading problem in a multi-energy microgrid system. Then, we consider the optimization problem in energy wholesale market when incorporating renewable energy sources, and a two-stage Stackelberg-Cournot stochastic game model is established. The risk measurement technique, conditional value at risk (CVaR), is harnessed to estimate the overbidding risk. Third, we will consider the Plug-In Electric Vehicles (PEVs) Charging: Feeder Overload Control problem. The last optimization problem is to consider minimizing the total cost of the generators when they generating electricity satisfying the demand.
六 、报告人简历：
Tingwen Huang is a Professor at Texas A&M University at Qatar. He received his B.S. degree from Southwest Normal University (now Southwest University), China, 1990, his M.S. degree from Sichuan University, China, 1993, and his Ph.D. degree from Texas A&M University, College Station, Texas, 2002. After graduated from Texas A&M University, he worked as a Visiting Assistant Professor there. Then he joined Texas A&M University at Qatar (TAMUQ) as an Assistant Professor in August 2003, then he was promoted to Professor in 2013. Dr. Huang’s research areas include neural networks, chaotic dynamical systems, complex networks, optimization and control, smart grid. The Association of Former Students Distinguished Achievement Award for Research, one of the highest honors bestowed to a faculty of Texas A&M University in College Station, USA, among others.
He is a Fellow of The World Academy of Sciences (TWAS) for the advancement of science in developing countries, a Member of the European Academy of Sciences and Arts, an Academician of the International Academy for Systems and Cybernetic Sciences, a Fellow of IEEE and IAPR (International Association of Pattern Recognition).
