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

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, 100861.
https://doi.org/10.1016/j.softx.2021.100861

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 Creators:
Plietzsch, Anton1, Author              
Kogler, Raphael1, Author              
Auer, Sabine2, Author
Merino, Julia2, Author
Gil-de-Muro, Asier2, Author
Liße, Jan2, Author
Vogel, Christina2, Author
Hellmann, Frank1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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Free keywords: Power Systems, Dynamic Simulation, Microgrids, Inverters, Julia
 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.

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Language(s): eng - English
 Dates: 2021-10-202021-12-132022-01
 Publication Status: Finally published
 Pages: 7
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Working Group: Dynamics, stability and resilience of complex hybrid infrastructure networks
MDB-ID: yes - 3245
Research topic keyword: Energy
Model / method: Open Source Software
OATYPE: Gold Open Access
DOI: 10.1016/j.softx.2021.100861
 Degree: -

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Title: SoftwareX
Source Genre: Journal, SCI, Scopus, oa
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Pages: - Volume / Issue: 17 Sequence Number: 100861 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/softwarex
Publisher: Elsevier