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Abstract

Power grids, as well as neural networks with
synaptic plasticity, describe real-world systems of tremendous
importance for our daily life. The investigation of these seemingly
unrelated types of dynamical networks has attracted increasing
attention over the last decade. In this work, we exploit the
recently established relation between these two types of networks
to gain insights into the dynamical properties of multifrequency
clusters in power grid networks. For this, we consider the
model of Kuramoto-Sakaguchi phase oscillators with inertia and
describe the emergence of multicluster states. Building on this,
we provide a new perspective on solitary states in power grid
networks by introducing the concept of pseudo coupling weights.