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

@article{Plietzsch2021PowerDynamicsjlA, title={PowerDynamics.jl - An experimentally validated open-source package for the dynamical analysis of power grids}, author={Anton Plietzsch and Raphael Kogler and Sabine Auer and Julia Merino and Asier Gil-de-Muro and Jean Pierre Lisse and Christine Vogel and Frank Hellmann}, journal={ArXiv}, year={2021}, volume={abs/2101.02103} }

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 dynamical optimization and parameter fitting. The… Expand

#### 2 Citations

Predicting Dynamic Stability of Power Grids using Graph Neural Networks

- Computer Science, Physics
- ArXiv
- 2021

It is shown that SNBS can be predicted in general and the performance significantly changes using different GNN-models, and interesting transfer capabilities of the approach are observed: Gnn-models trained on smaller grids can directly be applied on larger grids without the need of retraining. Expand

NetworkDynamics.jl - Composing and simulating complex networks in Julia

- Computer Science, Physics
- Chaos
- 2021

NetworkDynamics.jl is an easy-to-use and computationally efficient package for simulating heterogeneous dynamical systems on complex networks, written in Julia, a high-level, high-performance,… Expand

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