How Network Topology Affects the Strength of Dangerous Power Grid Perturbations

Reasonably large perturbations may push a power grid from its stable synchronous state into an undesirable state. Identifying vulnerabilities in power grids by studying power grid stability against such perturbations can aid in preventing future blackouts. Probabilistic stability quantifiers such as basin stability, which measures the asymptotic stability of a system, and survivability, which measures the transient stability of a system, have been commonly used to quantify the stability of nodes in a power grid. However, these quantifiers do not provide information about the strength of perturbations that destabilize the system. To measure the strength of perturbations beyond which the stability of the system gets compromised, we employ two probabilistic distance-based stability measures — basin stability bound, which deals with a system’s asymptotic behavior, and survivability bound, a newly defined stability measure that deals with a system’s transient behavior. Using these stability quantifiers, we conduct a detailed study on the impact of network topology on the strength of dangerous power grid perturbations. In this, we uncover a new class of highly vulnerable nodes that were previously unknown. Additionally, we establish connections with tree-like network structures and node connectivity to lowly stable nodes.

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Publication Details

Journal
International Journal of Bifurcation and Chaos
Published
2025-08-15
DOI
https://doi.org/10.1142/s0218127425501603
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
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article

How Network Topology Affects the Strength of Dangerous Power Grid Perturbations

Soumitro Banerjee, Calvin Alvares
International Journal of Bifurcation and Chaos
Smart Grid Security and Resilience
article

How Network Topology Affects the Strength of Dangerous Power Grid Perturbations

Soumitro Banerjee, Calvin Alvares
article en

Abstract

Reasonably large perturbations may push a power grid from its stable synchronous state into an undesirable state. Identifying vulnerabilities in power grids by studying power grid stability against such perturbations can aid in preventing future blackouts. Probabilistic stability quantifiers such as basin stability, which measures the asymptotic stability of a system, and survivability, which measures the transient stability of a system, have been commonly used to quantify the stability of nodes in a power grid. However, these quantifiers do not provide information about the strength of perturbations that destabilize the system. To measure the strength of perturbations beyond which the stability of the system gets compromised, we employ two probabilistic distance-based stability measures — basin stability bound, which deals with a system’s asymptotic behavior, and survivability bound, a newly defined stability measure that deals with a system’s transient behavior. Using these stability quantifiers, we conduct a detailed study on the impact of network topology on the strength of dangerous power grid perturbations. In this, we uncover a new class of highly vulnerable nodes that were previously unknown. Additionally, we establish connections with tree-like network structures and node connectivity to lowly stable nodes.

International Journal of Bifurcation and ChaosVol. 35(13)
Indian Institute of Science Education and Research Kolkata (IN)
Openalex Percentile: Top 74%
Smart Grid Security and Resilience
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