Prof. dr. Mladen Kezunović

After a brief overview of the motivation for large-scale electrification, the lecture focuses on the associated risk and potential impacts that can propagate across multiple critical infrastructures. The sources of the risk are identified through analysis of the future evolution of the electric grid development where environmental impacts, deterioration of the legacy infrastructure, massive interfacing of distributed energy generation resulting in penetration of inverter-based resources, digitalization, and human behavior consequences are dominant. The focus then shifts to the new approaches for predicting the risk by using advanced machine learning and artificial intelligence approaches, and then mitigating the risk impacts through various optimization objectives. The lecture ends by pointing out the importance of the societal, normative, regulatory, and legislative changes that need to take place for the large-scale electrification not to pose major risk to the welfare of individuals and economic prosperity of a society. The key points are illustrated using the Use Case of state of risk prediction of the electric grid outages, as well as future control and protection decision-making paradigm.

Keywords: Risk, smart grid, electrification, outage