博士论文答辩：新能源系统管理中的不确定性处理：架构、机制与实现
日期：2023/05/22 - 2023/05/22
博士论文答辩：新能源系统管理中的不确定性处理：架构、机制与实现
主讲人：Zhikang Li, Ph.D. candidate at UM-SJTU Joint Institute
时间：2023年5月22日（周一）上午10:00
地点：密西根学院龙宾楼403会议室
讲座摘要
With the wide concern in energy and environmental issues, renewable energy is being promoted worldwide. This dissertation has dealt with several critical uncertainties in the renewable energy management system. Electric vehicle (EV) charging coordination and microgrid cloud-local control are chosen as two typical scopes to design, implement, and verify the corresponding coordination scheme. The uncertainties in temporal and spatial domains are jointly considered for the first time to form a large-scale temporal-spatial charging coordination system. A cloud-local microgrids energy coordination architecture that is reliable and resilient under power uncertainties and communication failures is proposed. Through the proposed scheduling models and multi-agent game model, the prediction and real-time dynamic information are combined to mitigate uncertainties, making renewable energy system management more reliable and efficient.
主讲人简介
Zhikang Li received the B.S. degree from Beihang University in 2016, and received two M.S. degrees in control science and engineering from Beihang University and in electrical engineering from Politecnico di Milano, Italy, respectively, in 2019. He is currently a Ph.D. candidate student at the UM-SJTU Joint Institute, supervised by Prof. Chengbin Ma. His research interests include energy management systems, multi-agent systems, EV charging coordination and advanced microgrid architecture.