Title | ||
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An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power Systems |
Abstract | ||
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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 pack... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/OSMSES54027.2022.9769114 | 2022 Open Source Modelling and Simulation of Energy Systems (OSMSES) |
Keywords | DocType | ISBN |
Machine learning algorithms,Software packages,Power system dynamics,Machine learning,Power system stability,Mathematical models,Stability analysis | Conference | 978-1-6654-1008-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Anna Büttner | 1 | 0 | 0.34 |
Hans Würfel | 2 | 0 | 0.34 |
Anton Plietzsch | 3 | 0 | 0.34 |
Michael Lindner | 4 | 0 | 0.34 |
Frank Hellmann | 5 | 0 | 0.34 |