PowerDynamics.jl - An experimentally validated open-source package for the 
dynamical analysis of power grids

Plietzsch, Anton; Kogler, Raphael; Auer, Sabine; Merino, Julia; Gil-de-Muro, Asier; Liße, Jan; Vogel, Christina; Hellmann, Frank

doi:10.1016/j.softx.2021.100861

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学術論文

PowerDynamics.jl - An experimentally validated open-source package for the dynamical analysis of power grids

Authors

/persons/resource/plietzsch

Plietzsch, Anton
Potsdam Institute for Climate Impact Research;

/persons/resource/kogler.raphael

Kogler, Raphael
Potsdam Institute for Climate Impact Research;

Auer, Sabine
External Organizations;

Merino, Julia
External Organizations;

Gil-de-Muro, Asier
External Organizations;

Liße, Jan
External Organizations;

Vogel, Christina
External Organizations;

/persons/resource/frank.hellmann

Hellmann, Frank
Potsdam Institute for Climate Impact Research;

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26161oa.pdf
(出版社版), 2MB

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引用

Plietzsch, A., Kogler, R., Auer, S., Merino, J., Gil-de-Muro, A., Liße, J., Vogel, C., & Hellmann, F. (2022). PowerDynamics.jl - An experimentally validated open-source package for the dynamical analysis of power grids. SoftwareX, 17:. doi:10.1016/j.softx.2021.100861.

引用: https://publications.pik-potsdam.de/pubman/item/item_26161

要旨

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.