Explosive Synchronization in Inertial Kuramoto Models: Determining Resilience in Power Grids
Abstract
Maintaining power-grid stability is essential for a sustainable energy supply. Using empirical power-grid data, we show that the inertial Kuramoto model with correlated powers and coupling strengths provides a relevant framework for analyzing explosive synchronization and grid stability. We identify two distinct synchronization pathways, initiated by population-driven or coupling-driven seed rotors, that yield different order-parameter behaviors. Inertia, in turn, determines whether the resulting seed clusters retain distinct angular velocities. Similar mechanisms govern recovery from external disturbances, linking power-grid resilience to these two nucleation pathways. Our findings provide a microscopic framework for understanding synchronization and recovery, with implications for stable power-grid operation.
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BibTeX
@misc{kim2026explosive,
title = {{Explosive Synchronization in Inertial Kuramoto Models: Determining Resilience in Power Grids}},
author = {Cook Hyun Kim and Jihye Kim and Sangjoon Park and Jürgen Kurths and B. Kahng},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2609.00910},
eprint = {2609.00910},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.00910},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Explosive Synchronization in Inertial Kuramoto Models: Determining Resilience in Power Grids
AU - Cook Hyun Kim
AU - Jihye Kim
AU - Sangjoon Park
AU - Jürgen Kurths
AU - B. Kahng
PY - 2026
DA - 2026/10/28
PB - arXiv
DO - 10.48550/arxiv.2609.00910
UR - https://arxiv.org/abs/2609.00910
AB - Maintaining power-grid stability is essential for a sustainable energy supply. Using empirical power-grid data, we show that the inertial Kuramoto model with correlated powers and coupling strengths provides a relevant framework for analyzing explosive synchronization and grid stability. We identify two distinct synchronization pathways, initiated by population-driven or coupling-driven seed rotors, that yield different order-parameter behaviors. Inertia, in turn, determines whether the resulting seed clusters retain distinct angular velocities. Similar mechanisms govern recovery from external disturbances, linking power-grid resilience to these two nucleation pathways. Our findings provide a microscopic framework for understanding synchronization and recovery, with implications for stable power-grid operation.
ER -