Optimization Problems in Smart Grids
时间:2019-12-23    浏览量:次

报告题目: Optimization Problems in Smart Grids


报告时间:20191224日(星期二) 上午10:30


报告摘要: In this talk, several optimization problems will be introduced. First, energy trading among microgrids will be introduced, then a two-stage stochastic game theoretical model is proposed for energy trading problem in a multi-energy microgrid system. In this work, the risk measurement technique, conditional value at risk(CVaR), is harnessed to estimate the overload risk during the peak hour and the overbidding risk while distributed alternating direction method of multipliers (ADMM) is accelerated by Nesterov gradient method to solve game model. The third one is regarding plug-in Electric Vehicles charging: feeder overload control problem.  In addition, for a large scale economic dispatch problem, economic dispatch dynamical economic problem, different distributed optimization algorithms are developed.

主讲人先容:黄廷文,德州农工大学卡塔尔分校教授, Fellow of IEEE,长江讲座教授。他于1990年获得西南大学学士,1993年获得四川大学硕士,2002年获得德州农工大学博士,于2003年聘为德州农工大学卡塔尔分校助理教授,2013年成为正教授。目前主要从事分布式控制与优化,多智能体协同性,神经计算的理论研究以及面向智能电网的应用研究。迄今为止,他在该领域出版3部学术著作,发表SCI期刊论文四百多篇, 其中IEEE Transactions系列汇刊一百余篇,还有重要国际会议论文包括IJCAI, 这些论文被SCI总共引用10000余次,GOOGLE学术统计引用14000余次,于2018, 2019年成为科睿唯安(Clarivate Analytics, 原汤森路透Thomson Reuters)全球高引科学家。

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