Power Grid Resilience Assessment based on Network Centrality

In recent years, natural disasters have triggered widespread blackouts globally. To expedite the recovery of power systems, this paper introduces a comprehensive metric for assessing grid resilience. It integrates centrality measures from complex network analysis with the operational characteristics of power systems. By applying the centrality metric, which determines the importance of nodes and edges based on their roles in network information flow, we evaluate the system's resilience to critical edge failures. This method highlights key components essential for energy distribution. Through simulation experiments, we construct resilience metrics and use a universal test platform to model the impact of removing critical lines on network efficiency. The results indicate that the network's criticality, as defined by the recalculated centrality measures, is often concentrated on a few key lines. This insight is crucial for the swift maintenance and repair of power systems following significant natural disasters.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10991904
Primary Topic
Smart Grid and Power Systems
Type
article
Field-Weighted Citation Impact
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article

Power Grid Resilience Assessment based on Network Centrality

Rui Wang, Ziyan Zhang
Smart Grid and Power Systems
article

Power Grid Resilience Assessment based on Network Centrality

Rui Wang, Ziyan Zhang
article en

Abstract

In recent years, natural disasters have triggered widespread blackouts globally. To expedite the recovery of power systems, this paper introduces a comprehensive metric for assessing grid resilience. It integrates centrality measures from complex network analysis with the operational characteristics of power systems. By applying the centrality metric, which determines the importance of nodes and edges based on their roles in network information flow, we evaluate the system's resilience to critical edge failures. This method highlights key components essential for energy distribution. Through simulation experiments, we construct resilience metrics and use a universal test platform to model the impact of removing critical lines on network efficiency. The results indicate that the network's criticality, as defined by the recalculated centrality measures, is often concentrated on a few key lines. This insight is crucial for the swift maintenance and repair of power systems following significant natural disasters.

National University of Defense Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 72%
Smart Grid and Power Systems
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