Super Sessions

Super Session 1: Resilience and Reliability of Electricity and Gas Networks Under Extreme Events

Extreme events such as droughts, wildfires, polar vortex, hurricanes, and cyberattacks have caused stressful conditions and even catastrophic failures of energy systems in recent years. It is essential to maintain reliable and resilient operation of multiple energy system including bulk power systems and natural gas systems during extreme events. This panel will discuss extreme event impacts on electrical and gas energy systems as well as resilience modeling and evaluation methods. Internationally recognized experts from academia, research labs, and industry will share their original ideas and insights on this challenging topic.


Dr. Rick Wallace Kenyon, National Renewable Energy Laboratory (NREL), US


  • Dr. Srijib Mukherjee, Oak Ridge National Laboratory, USA
  • Dr. Dave Schoenwald, Sandia National Laboratory, USA
  • Dr. Mathaios Panteli, University of Cyprus, Cyprus
  • Dr. Mehdi Ghazavi Dozein, University of Melbourne, Australia
  • Dr. Fangxing Li, University of Tennessee, USA
  • Dr. Yilu Liu, University of Tennessee, USA
  • Dr. Kwabena Pambour, encoord GmbH, Germany

Super Session 2: Stability, Dynamics, and Control of Emerging Renewable-Rich Power Systems

Power systems around the world are undergoing a technological revolution due to the large-scale integration of inverter-based resources (IBRs) and the corresponding phase-out of synchronous generator units. This technological revolution is fundamentally changing the dynamics and characteristics of this class of complex systems to these physically disparate devices, and impacting the traditional approaches to system stability. Thus, it is essential to better understand the root causes and manifestations of potential system instability phenomena under these unprecedented, high IBR share influenced grid conditions, in order to effectively develop mitigation solutions.

This panel will share new insights and thoughts on the dynamics of these new emerging power systems driven by the general control and response of IBR components, especially during weak grid and varying inertia operating conditions. Clarification is sought as to the needs for system stability and security, how and to what extent IBRs might support system dynamics, as well as the associated challenges, limitations, and requirements.


Dr. Mehdi Ghazavi Dozein, University of Melbourne, Australia


  • Dr. Jochen Cremer, Delft University of Technology, Netherlands
  • Dr. Mehdi Ghazavi Dozein, University of Melbourne, Australia
  • Dr. Rick Wallace Kenyon, National Renewable Energy Laboratory (NREL), USA
  • Dr. Bikash Pal, Imperial College of London, UK
  • Dr. Panagiotis Papadopoulos, University of Strathclyde, UK
  • Dr. Vinícius Albernaz Lacerda Freitas, Polytechnic University of Catalonia, Spain

Super Session 3: AI for Active Power Distribution

The distributed paradigm toward more flexible operation of the electricity infrastructure may find its new foundation in the active real-time self-management of the many distributed energy resources. There, interestingly, the recent progress of developing AI-based algorithms for distributed self-organized agents part of the network can consider system stability constraints, and manage network congestion through their energy market participation. However, reinforced AI-based control may lack verifiable guarantees, transparency, and privacy, and can have inherent inaccuracies. In response, the system operators finally responsible for the reliable operation of the grid need advanced state estimation techniques using collected measurements so they can prevent instabilities. Processing these collected measurements is unfortunately not straightforward as the amount of data is increasing exponentially which is why advanced federated data processing techniques are currently in development. There, also for system operators, AI-based algorithms are very promising in the estimation of system states, the detection of active devices without intrusion, and the forecasts of some state variables such as demand or distributed renewable power injection. In this context, this panel will discuss the recently successful applications of AI methods such as multi-agent reinforcement learning, federated learning, and deep learning.


Dr. Jochen Cremer, Delft University of Technology, Netherlands


  • Dr. Fanlin Meng, the University of Essex, UK
  • Dr. Jochen Cremer, Delft University of Technology, Netherlands
  • Dr. Yunjie Gu, the University of Bath, UK
  • Mrs. Marija Markovic, University of Colorado Boulder, USA
  • Dr. Ksenia Poplavskaya, Austrian Institute of Technology, Austria
  • Dr. Laurine Duchesne, University of Liege, Belgium