Effect of disorder and noise in shaping the dynamics of power grids
Résumé
The aim of this paper is to investigate complex dynamic networks which can model
high-voltage power grids with renewable, fluctuating energy sources. For this purpose we use the
Kuramoto model with inertia to model the network of power plants and consumers. In particular,
we analyse the synchronization transition of networks of N phase oscillators with inertia (rotators)
whose natural frequencies are bimodally distributed, corresponding to the distribution of generator
and consumer power. First, we start from globally coupled networks whose links are successively
diluted, resulting in a random Erdös-Renyi network. We focus on the changes in the hysteretic loop
while varying inertial mass and dilution. Second, we implement Gaussian white noise describing
the randomly fluctuating input power, and investigate its role in shaping the dynamics. Finally,
we briefly discuss power grid networks under the impact of both topological disorder and external
noise sources.