Work

SEQUIN: A Network Science and Physics-based Approach to Identify Sequential N-k Attacks in Electric Power Grids

Year: 2025

Type: conference-paper

Abstract: Electric grid infrastructures are critical systems that provide power to communities, but face issues of reliability and resilience due to extreme events, e.g., natural disasters and man-made attacks. In general, the performance of the grid depends on a few key components. However, efficiently identifying them can be challenging. This demo paper presents the SEQUIN toolkit for exploring the evolution of the grid under the sequential failure of components. Our tool uses the specification of an electric power grid network, and provides an interface on which domain experts and practitioners can explore hypothetical attacks and their impacts. The underlying logic in the SEQUIN tool relies on network science-based principles and physics-based optimization. We envision that this tool can be used to help reason about the impact of such failures for the grid.

Source: ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS)

DOI: 10.1145/3716550.3722029

Authors: Andrew Chio, Russell Bent, Kaarthik Sundar, Nalini Venkatasubramanian

Institutions: University of California, Irvine, Los Alamos National Laboratory

Language: English

Topic: Smart Grid Security and Resilience

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Funders: U.S. Department of Energy, Los Alamos National Laboratory