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An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power Systems

Authors
/persons/resource/buettner

Büttner,  Anna
Potsdam Institute for Climate Impact Research;

/persons/resource/wuerfel.hans

Würfel,  Hans
Potsdam Institute for Climate Impact Research;

/persons/resource/plietzsch

Plietzsch,  Anton
Potsdam Institute for Climate Impact Research;

/persons/resource/Michael.Lindner

Lindner,  Michael
Potsdam Institute for Climate Impact Research;

/persons/resource/frank.hellmann

Hellmann,  Frank
Potsdam Institute for Climate Impact Research;

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Citation

Büttner, A., Würfel, H., Plietzsch, A., Lindner, M., Hellmann, F. (2022): An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power Systems. - In: 2022 Open Source Modelling and Simulation of Energy Systems (OSMSES), New York : IEEE, 9769114.
https://doi.org/10.1109/OSMSES54027.2022.9769114


Cite as: https://publications.pik-potsdam.de/pubman/item/item_27992
Abstract
BlockSystems.jl and NetworkDynamics.jl are two novel software packages which facilitate highly efficient transient stability simulations of power networks. Users may specify inputs and power system design in a convenient modular and equation-based manner without compromising on speed or model detail. Written in the high-level, high-performance programming language Julia [1] a rich open-source package ecosystem is available, which provides state-of-the-art solvers and machine learning algorithms [2].Motivated by the recent interest in the Nordic inertia challenge [3] we have implemented the Nordic5 test case [4] and tuned its control parameters by making use of the machine learning and automatic differentiation capabilities of our software stack.