It is a fundamental challenge to understand how the function of a network is related to its
structural organization. Adaptive dynamical networks represent a broad class of systems that …

The ongoing transition to renewable energy supply comes with a restructuring of power
grids, changing their effective interaction topologies, more and more strongly decentralizing …

Adaptivity is a dynamical feature that is omnipresent in nature, socio-economics, and
technology. For example, adaptive couplings appear in various real-world systems, such as …

The stability of synchronised networked systems is a multi-faceted challenge for many
natural and technological fields, from cardiac and neuronal tissue pacemakers to power …

Networks of identical oscillators with inertia can display remarkable spatiotemporal patterns
in which one or a few oscillators split off from the main synchronized cluster and oscillate …

Power grid networks, as well as neuronal networks with synaptic plasticity, describe real-
world systems of tremendous importance for our daily life. The investigation of these …

Renewable generators perturb the electric power grid with heavily non-Gaussian and time
correlated fluctuations. While changes in generated power on timescales of minutes and …

PowerDynamics. jl is a Julia package for time-domain modeling of power grids that is
specifically designed for the stability analysis of systems with high shares of renewable …

To mitigate climate change, the share of renewable energies in power production needs to
be increased. Renewables introduce new challenges to power grids regarding the dynamic …

Fluctuating wind energy makes a stable grid operation challenging. Due to the direct contact
with atmospheric turbulence, intermittent short-term variations in the wind speed are …