The dynamics of power-grid networks is becoming an increasingly active area
of research within the physics and network science communities. The results
from such studies are typically insightful and illustrative, but are often
based on simplifying assumptions that can be either difficult to assess or not
fully justified for realistic applications. Here we perform a comprehensive
comparative analysis of three leading models recently used to study
synchronization dynamics in power-grid networks -- a fundamental problem of
practical significance given that frequency synchronization of all power
generators in the same interconnection is a necessary condition for a power
grid to operate. We show that each of these models can be derived from first
principles within a common framework based on the classical model of a
generator, thereby clarifying all assumptions involved. This framework allows
us to view power grids as complex networks of coupled second-order phase
oscillators with both forcing and damping terms. Using simple illustrative
examples, test systems, and real power-grid datasets, we study the inherent
frequencies of the oscillators as well as their coupling structure, comparing
across the different models. We demonstrate, in particular, that if the network
structure is not homogeneous, generators with identical parameters need to be
modeled as non-identical oscillators in general. We also discuss an approach to
estimate the required (dynamical) parameters that are unavailable in typical
power-grid datasets, their use for computing the constants of each of the three
models, and an open-source MATLAB toolbox that we provide for these
computations.Comment: Article published in Focus Issue on Networks, Energy and the Economy.
Software for computing model parameters available at
https://sourceforge.net/projects/pg-sync-model