讲座题目

Integration of the Power Grid with Renewable Energy and EV Batterie

主办单位

数理与统计学院

协办单位

统计与数据计算系

讲座时间

6月3日14:00-15:00

主讲人

林海翔教授

讲座地点

在线网络直播---腾讯会议（会议号：896-394-231）

主讲人简介

Haixiang Lin（林海翔），荷兰代尔夫特理工大学（Delft University of Technology）应用数学研究所和莱顿大学（Leiden University）环境科学系教授，中国科学院大学和山东大学兼职客座教授。1979年考入清华大学，同年赴荷兰代尔夫特理工大学留学，分别获得学士、硕士和博士学位。林教授在高性能计算、并行算法、大规模复杂系统建模与仿真领域有丰富的经验，是并行分布计算与数据建模仿真领域的知名学者。近期研究的问题主要包括应用数据同化和机器学习的方法结合观测数据来提高含确定性的数学物理模型的预测精度，针对的应用问题包括沙尘暴或火山灰造成的PM2.5和PM10的浓度预测，可再生能源并网的优化，油藏构造的反演和通过机器学习做语音情感分析等。他承担了欧洲、荷兰10多项科研项目，发表研究论文130多篇。担任多个国际学术期刊编委、学术会议程序委员会主席/副主席，曾担任全欧华人专业协会联合会主席、荷兰华人学者工程师协会主席，荷兰皇家骑士勋章获得者。

讲座内容简介

Energy and transportation-related GHG emissions account for more than 60% of the total annual emissions, so all countries are taking action in the energy transition toward renewables and electric vehicles (EVs). However, renewable electricity fluctuates and requires storage systems for a stable grid, whereas batteries of EVs have long charging times and short driving distances. A possible solution would be to integrate them by replacing batteries at charging stations and using the reserve EV batteries as a storage system. An initial estimate shows this is an economically viable solution, but before it can be implemented, a number of (mathematical) problems need further investigation, such as establishing multi-level control algorithms from microgrids to the district, regional and national models for the large-scale distributed power generation;  optimization of stable power generation through the large geographical distribution of wind and photovoltaic installations using historical data of wind and radiation intensities from MERRA2 database; modeling and prediction of EV usages and charging and dispatching capacity for balancing the power systems; and above all, what is the guarantee or probability for once in the many years not meeting the demand (failure)? In this talk, we will discuss these problems from an optimization and statistics point of view.