Motif-based analysis of power grid robustness under attacks

TL;DR

This paper explores how analyzing local network motifs can reveal vulnerabilities in power grids that are not apparent from global topological measures, aiding in understanding power system robustness under attacks.

Contribution

It introduces a motif-based analysis approach to assess power grid robustness, highlighting local structural vulnerabilities overlooked by traditional global measures.

Findings

Motif analysis uncovers local vulnerabilities in power grids.

Power grids with similar global properties can differ significantly in local robustness.

Motif-based metrics can predict system fragility under attacks.

Abstract

Network motifs are often called the building blocks of networks. Analysis of motifs is found to be an indispensable tool for understanding local network structure, in contrast to measures based on node degree distribution and its functions that primarily address a global network topology. As a result, networks that are similar in terms of global topological properties may differ noticeably at a local level. In the context of power grids, this phenomenon of the impact of local structure has been recently documented in fragility analysis and power system classification. At the same time, most studies of power system networks still tend to focus on global topological measures of power grids, often failing to unveil hidden mechanisms behind vulnerability of real power systems and their dynamic response to malfunctions. In this paper a pilot study on motif-based analysis of power grid robustness under various types of intentional attacks is presented, with the goal of shedding light on local dynamics and vulnerability of power systems.