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Abstract

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 energies. It makes use of Julia’s state-of-the-art
differential equation solvers and is highly performant even for systems with a
large number of components. Further, it is compatible with Julia’s machine
learning libraries and allows for the utilization of these methods for dynam-
ical optimization and parameter fitting. The package comes with a number
of predefined models for synchronous machines, transmission lines and in-
verter systems. However, the strict open-source approach and a macro-based
user-interface also allows for an easy implementation of custom-built mod-
els which makes it especially interesting for the design and testing of new
control strategies for distributed generation units. This paper presents how
the modeling concept, implemented component models and fault scenarios
have been experimentally tested against measurements in the microgrid lab
of TECNALIA.