SS22 The role of Big data and AI for the secure operation of transmission systems

ABSTRACT

Energy systems are evolving to low-inertia networks where utilities are now facing more challenges associated to the dramatic increase of inverter-connected devices. Consequently, utilities require higher degree of observability in the network and thus are becoming more dependent of advanced metering infrastructure, monitoring systems and high frequency synchronized wide-area devices in order to improve the decision making and situational awareness of the transmission system. As solution, utilities have adopted methods to handle, process and analyze the information acquired. Since the characteristics of the power systems are considerably different due to the diverse geographical locations, dimension of the systems and nature of the loads, the current handling processes are not necessarily the same nor the most advanced solution. In this context, the IEEE Working Group on Big Data & Analytics for Transmission Systems is working together with transmission system operators and academic partners from different backgrounds to bridge the gap and develop solutions suitable for cope with these emerging issues. The objective of the panel is the discuss the recent advancement on data-driven, and machine learning approaches for different applications in transmission systems and to understand how far these tools are from the reality and to define concrete goals to facilitate utilities to their transition with these advanced tools.

CHAIR

Rafael Segundo, Zurich University of Applied Sciences, Switzerland, segu@zhaw.ch

Alfredo Vaccaro, University of Sannio, Italy, vaccaro@unisannio.it

SPEAKERS

Robert Eriksson, Svenska kraftnät, Sweden, robert.eriksson@svk.se

Vladimir Terzija, Newcastle University, UK, vladimir.terzija@newcastle.ac.uk

Hector Chavez, University of Santiago de Chile, Chile, hector.chavez@usach.cl

SHORT BIO

	Rafael Segundo received the PhD degree in electrical engineering from Imperial College London in the UK in 2012. He joined the Electric Power System group of KTH, Sweden as postdoctoral researcher in 2013 and since 2014, he is a Research Associate at the Zurich University of Applied Sciences in Switzerland. Dr. Segundo is the founder and chair of the IEEE Working Group on Big Data & Analytics for Transmission Systems and chair of the international workshop DynPOWER since 2017. His research interest includes analysis of power systems dynamics and control, effects of integration of renewable sources in the stability of the system, application of machine learning techniques to improve the situational awareness and the development of indexes to measure the security level of transmission systems.
	Alfredo Vaccaro received the M.Sc. (Hons.) degree in electronic engineering from the University of Salerno, Salerno, Italy, and the Ph.D. degree in electrical and computer engineering from the University of Waterloo, Waterloo, ON, Canada. Currently, he is a Full Professor of Electric Power Systems at the Department of Engineering of University of Sannio. His research interests include reliable computing-based methods for uncertain power system analysis, and self-organizing architectures for decentralized smart grids computing. Prof. Vaccaro is the Editor in Chief of Smart Grids and Sustainable Energy, Springer Nature, Associate Editor of IEEE trans. on Smart Grids and IEEE trans. on Power Systems, and Vice-Chair of the IEEE PSOPE-Technologies and Innovation Subcommittee.
	Robert Eriksson received the M.Sc. and Ph.D. degrees in electrical engineering from the KTH Royal Institute of Technology, Stockholm, Sweden, in 2005 and 2011, respectively. From 2013 to 2015, he held a position as an Associate Professor with Center for Electric Power and Energy, Technical University of Denmark – DTU, Kongens Lyngby, Denmark. He is currently a team leader at the Swedish National Grid, Department of Power Systems. Since 2020, he is also an Adjunct Professor at the KTH Royal Institute of Technology. His research interests include power system dynamics and stability, automatic control, HVDC systems/dc grid, and control room applications.
	Vladimir Terzija received the Dipl-Ing., M.Sc., and Ph.D. degrees in electrical engineering from the University of Belgrade, Serbia. Since 2023 he is a Professor of Energy Systems & Networks at the Newcastle University, UK. He is also a Distinguished Professor at Shandong University, China, as well as a Guest Professor at the Technical University of Munich, Germany. In the past, he has been with the University of Belgrade (Serbia), ABB (Germany), The University of Manchester (UK) and Skoltech (Russian Federation). His research interests include smart grid applications; WAMPAC; power system protection; transient processes; data analytics and digital signal processing applications in power and energy 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).
	Hector Chavez received the Bachelor’s, Civil Engineer in Electrical and Master’s degrees in electrical engineering from the University of Santiago, Santiago, Chile, in 2004, 2006 and 2006, respectively, and the Ph.D. in electrical and computer engineering from the University of Texas at Austin, Austin, TX, USA, in 2013. In 2013, he was a postdoctoral fellow in the Department of Electrical Power Systems, School of Electrical Engineering, KTH Royal Institute of Technology , Stockholm, Sweden. From 2006 to 2009, he was an Instrumentation Engineer at WorleyParsons Minerals and Metals, Santiago. Currently, he is the Director of the Department of Electrical Engineering at the University of Santiago.