Predicting the Oscillatory Regimes of Global Synchrony Induced by Secondary Clusters
Gug Young Kim, Mi Jin Lee, Seung-Woo Son
TL;DR
Inertia-bearing oscillator networks governed by the second-order Kuramoto model exhibit nonmonotonic, oscillatory global synchrony in the forward process due to secondary whirling clusters. The authors develop a self-consistent mean-field framework that resolves these secondary clusters, solving a reduced locked/drift problem and deriving quantitative criteria for their onset and termination. They identify an onset crossover mass $\tilde{m}^* \simeq 3.865$ and provide a self-consistent equation for the secondary-cluster order parameter $r_{(+)}$, enabling prediction of oscillatory regimes in the $(K,m)$ plane. This work offers practical guidance for stabilizing inertial synchronization systems, such as power grids, by predicting when oscillations occur and how to suppress them through parameter choices.
Abstract
Synchronization systems with effective inertia, such as power grid networks and coupled electromechanical oscillators, are commonly modeled by the second-order Kuramoto model. In the forward process, numerical simulations exhibit a staircase-like growth of global synchrony, reflecting temporal oscillations induced by secondary synchronized clusters of whirling oscillators. While this behavior has been observed previously, its governing conditions have not been quantitatively determined in terms of analytical criteria. Here, we develop a self-consistent theoretical framework that explicitly characterizes the secondary synchronized clusters. This analysis identifies an onset crossover mass $\tilde{m}^* \simeq 3.865$ for the emergence of secondary clusters and yields quantitative criteria for predicting both the crossover mass and the termination coupling strength at which they vanish. As a result, we determine the oscillatory regimes of coupling strengths over which global synchrony shows temporal oscillations, providing practical guidance for controlling and avoiding undesirable oscillatory behavior in inertial synchronization systems, such as power grids.
