We present a novel grid-forming control design approach for dynamic virtual power plants
(DVPP). We consider a group of heterogeneous grid-forming distributed energy resources …

We propose a structure-preserving model-reduction methodology for large-scale dynamic
networks with tightly-connected components. First, the coherent groups are identified by a …

We propose a novel model-reduction methodology for large-scale dynamic networks with
tightly-connected components. First, the coherent groups are identified by a spectral …

Network coherence generally refers to the emergence of simple aggregated dynamical
behaviours, despite heterogeneity in the dynamics of the subsystems that constitute the …

We consider the problem of controlling the frequency of low-inertia power systems via
inverter-based resources (IBRs) that are weakly connected to the grid. We propose a novel …

In the pursuit of carbon neutrality and sustainability, great concerns on frequency security
arise from the everincreasing penetration of new energy generation (NEG). Due to its fast …

The physical and cyber domains with which we interact are filled with high-dimensional
dynamical systems. In machine learning, for instance, the evolution of overparametrized …