报告题目：On data-driven solutions supporting future resilient electrical power and energy systems

报告时间：2024年10月30日（周三）9：30 – 10：30

报告地点：电气学院A408

报告人：Vladimir Terzija, IEEE Fellow

报告人简介：

Vladimir Terzija received the Dipl-Ing., M.Sc., and Ph.D. degrees in electrical engineering from the University of Belgrade, Belgrade, Serbia. He is a Full Professor and a Head of Laboratory of Modern Energy Systems at Skoltech, Moscow, 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, IEEE Fellow and the recipient of the National Friendship Award (China).

报告摘要：

The role of data, their acquisition, transmission, collection and processing are becoming more important than ever. The quantity of data is significantly increasing, what is a result of the 4th Industrial Revolution, Industry 4.0, which is significantly changing the shape of processes in the 21st century. Changes are particularly related to technology, industry and society. Through introduction of smart technologies, doors for designing and implementing smart solutions contributing to security, dependability, flexibility and resilience of modern energy systems, are opened. Newly designed “digital substations” are enabling rapid and efficient transfer of information from the physical process, i.e. actual electricity network in which voltage and current transducers are installed, to hierarchically higher centers in which information is processed, e.g. Energy Management Systems, or Distribution Management Systems. Through application of data science-based solutions, integration of renewable energy sources is maximized, different energy vectors are integrated into single multi-energy systems, optimizing processes, making them more efficient and contributing to confident transformation of the existing energy system into a sustainable and low carbon one. Finally, purely data-driven solutions for the system monitoring, protection and control are becoming one of the major focuses of the development and innovation. The abovementioned issues will be discussed from the new technology perspective, its impact to new solutions and its expected benefits. Some representative practical examples will be presented as well.