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

Büttner, Anna; Würfel, Hans; Plietzsch, Anton; Lindner, Michael; Hellmann, Frank

doi:10.1109/OSMSES54027.2022.9769114

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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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引用

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.

引用: https://publications.pik-potsdam.de/pubman/item/item_27992

要旨

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.