2018.7.12学术报告:Future Power System Resilience against Catastrophic Events

发布者:dqwm_admin发布时间:2018-07-10浏览次数:221

电气与电子信息学院学术报告


报告题目:Future Power System Resilience against                    Catastrophic Events

报 告 人:王鹏 教授

时    间:2018712日下午4:00

地    点:6A301

主    办:电气与电子信息学院

欢迎大家届时光临!

个人简介:

Peng Wang is a Professor at the Electrical & Electronic Engineering School of the Nanyang Technological University, Singapore.Hereceived his Ph.D. degree from the University of Saskatchewan, Canada. His research interests include Power system planning and operation, Renewable energy planning, Solar/electricity conversion system, Power market and Power system reliability analysis. Prof. Wang has published over 250 referred technique papers (89 IEEE Transaction papers) with more than 2,000 SCI citations and has 15 patent applications authorized in China and the US. He won two best paper awards in reputed international conferences and received the IEEE PES Outstanding Engineer Award and IEEE PES High Performing Chapter Award in 2014.

Prof. Wang was an Associate Editor for IEEE Transactions on Smart Grid in 2011 - 2015, a Guest Editor-in-Chief/Editor for CSEE Journal of Power and Energy System and Journal of Modern Power Systems and Clean Energy, and the Chair of IEEE/PES Singapore Chapter. He currently serves as an Associate Editor for IEEE Transactions on Power Delivery. Prof. Wang is the Principal Investigator of more than 20 research projects in Singapore and involves in other two research projects in China. He also gave more than 20 Keynotes and Invited talks in international conferences and Universities.

主要内容:

Power system Resilience is the ability to prepare for and adapt to changing conditions and withstand and recover rapidly from a large disruption such as a nature disaster. In recent years, the power system damage and power interruption caused by extreme events increases dramatically. This presentation will introduce the concept of power system resilience and system degradation process of pre-intra-post event, nature disaster modelling and impacts analysis related to the some research works in NTU.