  Power grids, as well as neuronal 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.
