Hysteretic transitions in the Kuramoto model with inertia.
We report finite-size numerical investigations and mean-field analysis of a Kuramoto model with inertia for fully coupled and diluted systems. In particular, we examine, for a gaussian distribution of the frequencies, the transition from incoherence to coherence for increasingly large system size and inertia. For sufficiently large inertia the transition is hysteretic, and within the hysteretic region clusters of locked oscillators of various sizes and different levels of synchronization coexist. A modification of the mean-field theory developed by Tanaka, Lichtenberg, and Oishi [Physica D 100, 279 (1997)] allows us to derive the synchronization curve associated to each of these clusters. We have also investigated numerically the limits of existence of the coherent and of the incoherent solutions. The minimal coupling required to observe the coherent state is largely independent of the system size, and it saturates to a constant value already for moderately large inertia values. The incoherent state is observable up to a critical coupling whose value saturates for large inertia and for finite system sizes, while in the thermodinamic limit this critical value diverges proportionally to the mass. By increasing the inertia the transition becomes more complex, and the synchronization occurs via the emergence of clusters of whirling oscillators. The presence of these groups of coherently drifting oscillators induces oscillations in the order parameter. We have shown that the transition remains hysteretic even for randomly diluted networks up to a level of connectivity corresponding to a few links per oscillator. Finally, an application to the Italian high-voltage power grid is reported, which reveals the emergence of quasiperiodic oscillations in the order parameter due to the simultaneous presence of many competing whirling clusters.
CNR (Consiglio Nazionale delle Ricerche), Istituto dei Sistemi Complessi, via Madonna del Piano 10, I-50019 Sesto Fiorentino, Italy and INFN Sez. Firenze, via Sansone, 1, I-50019 Sesto Fiorentino, Italy.
Simona
S
Olmi
Centre for Biomedical Technology (UPM), 28922 Pozuelo de Alarcón, Madrid, Spain.
Adrian
A
Navas
CNR (Consiglio Nazionale delle Ricerche), Istituto dei Sistemi Complessi, via Madonna del Piano 10, I-50019 Sesto Fiorentino, Italy and INFN Sez. Firenze, via Sansone, 1, I-50019 Sesto Fiorentino, Italy and Centre for Biomedical Technology (UPM), 28922 Pozuelo de Alarcón, Madrid, Spain.
Stefano
S
Boccaletti
CNR (Consiglio Nazionale delle Ricerche), Istituto dei Sistemi Complessi, via Madonna del Piano 10, I-50019 Sesto Fiorentino, Italy and INFN Sez. Firenze, via Sansone, 1, I-50019 Sesto Fiorentino, Italy.
Alessandro
A
Torcini
D003198:Computer Simulation; D008962:Models, Theoretical; D013816:Thermodynamics