澳门威斯尼斯人wns888app学术报告——Data Driven Solutions for Future Sustainable and Resilient Energy Systems

发布者:dqwm_admin发布时间:2022-11-16浏览次数:2

报告主题:Data Driven Solutions for Future Sustainable and Resilient Energy Systems

报 告 人:Prof. Vladimir Terzija (IEEE FellowHumboldt Fellow)

会议时间:1117(周四) 14:00

会议地点:腾讯会议661-268-580

主办单位:重庆大学、输配电装备及系统安全与新技术国家重点实验室、重庆大学溧阳智慧城市研究院

协办单位:四川大学、电子科技大学、西南交通大学、成都理工大学、成都中医药大学、四川师范大学、西华大学、西南科技大学、西南大学、重庆邮电大学、重庆科技学院

Personal Profile:

Vladimir Terzija received the Dipl-Ing.M.Sc., and Ph.D. degrees in electrical engineering from the University of Belgrade, Belgrade. He is a Full Professor at SkoltechMoscow, Russian Federation. He is also a Distinguished Professor at the Shandong University, Jinan, China. In the past, he has been with the University of Belgrade (Serbia), ABB (Germany) and The University of Manchester (UK). His research interests include smart grid applications; WAMPAC; Power system protection; transient processes; data analytics and digital signal processing applications in power systems. Prof. Terzija is Editor in Chief of the International Journal of Electrical Power and Energy Systems, Alexander von Humboldt Fellow, Fellow of IEEE and the recipient of the National Friendship Award (China).

Abstract:

As a result of high penetration of power electronics connected generation and load, as well as mixed ac-dc transmission and distribution networks, the nature of dynamics of modern electrical power systems has changed and their operation became a challengerequesting new approaches for monitoring, protection and control. On the other hand, availability of modern smart technologies, e.g. sensor and ICT technology, opened new paradigms and data driven solutions for coping with new challenges. The presentation is aiming at addressing new data-driven approaches for monitoring, protection and control of future sustainable and resilient energy systems. Experience from 3 flagship and large-scale projects funded by Ofgem (UK) Network Innovation Competition, VISOR, EFCC and FITNESS projects, will be summarized and discussed. Approaches based on Data Science and hardware in the loop testing using Real-time Digital Simulator (RTDS), explored under the umbrella of the prestigious AMPaC Megagrant project funded by The Ministry of Education and Science of Russian Federation (http://ampac.skoltech.ru/), will be presented too.