Vladimir Terzija received the Dipl-Ing., M.Sc., and Ph.D. degrees in electrical engineering from the University of Belgrade, Belgrade, Serbia, in 1988, 1993, and 1997, respectively. He is a Professor of Energy Systems & Networks at the Newcastle University, UK. He is also a Distinguished Visiting Professor at Shandong University, China, as well as a Guest Professor at the Technical University of Munich, Germany. In the period 2021-2023 he was a Full Professor at Skoltech, Russian Federation. In the period 2006-2020 he was the EPSRC Chair Professor at The University of Manchester, UK. From 2000 to 2006, he was a Senior Specialist for switchgear and distribution automation with ABB, Ratingen, Germany. From 1997 to 1999, he was an Associate Professor with the University of Belgrade, Belgrade, Serbia. His current research interests include smart grid applications, wide-area monitoring, protection and control, multi-energy systems, transient processes, ICT, data analytics, and complex science applications in power systems. He is the Editor-in-Chief of the International Journal of Electrical Power and Energy Systems, Fellow IEEE, Humboldt Fellow and the recipient of the National Friendship Award, China

On data-driven solutions supporting future resilient power and energy systems

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, too