Robustness Analysis of AI Models in Critical Energy Systems

Pantelis Dogoulis, matthieu jimenez, Maxime Cordy, Salah GHAMIZI, YVES LE TRAON

Keywords: Power Grids, Critical Systems, AI Simulation

Abstract: This paper analyzes the robustness of state-of-the-art AI-based models for power grid operations under the $N-1$ security criterion. While these models perform well in regular grid settings, our results highlight a significant loss in accuracy following the disconnection of a line. Using graph theory-based analysis, we demonstrate the impact of node connectivity on this loss. Our findings emphasize the need for practical scenario considerations in developing AI methodologies for critical infrastructure.

Submission Number: 62