PanTaGruEl - a pan-European transmission grid and electricity generation model (Q6696094)
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Dataset published at Zenodo repository.
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | PanTaGruEl - a pan-European transmission grid and electricity generation model |
Dataset published at Zenodo repository. |
Statements
If you have any questions or comments, please write to laurent.vincent.pagnier@gmail.com. When publishing results based on this data set, please cite: L. Pagnier, P. Jacquod, Inertia location and slow network modes determine disturbance propagation in large-scale power grids, PLOS ONE 14(3): e0213550, 2019. PLOS ONE 14(3): e0213550, 2019. and M. Tyloo, L. Pagnier, P. Jacquod, The Key Player Problem in Complex Oscillator Networks and Electric Power Grids: Resistance Centralities Identify Local Vulnerabilities, Science Advances 5(11): eaaw8359, 2019. Description: PanTaGruEl is a dynamical grid model designed to investigate the propagation of disturbances in the continental European transmission grid. The construction of the model is detailed here. Features: Precise distribution of national demands to network buses. Realistic electrical parameters of transmission lines. Merit-Order based economic dispatch of generators. Dynamical parameters of generators and loads for transient stability investigations. Files: Data files: Our model is provided in an extended Matpower format and as csv raw data. For more information on Matpower format, see Appendix B of its manual. Script files: opf_ex.m performs optimal power flow computations for two load configurations. spectral_ex.m presents a basic spectral analysis. dynamics_ex.m give a minimal example of dynamical simulations. Requirements: Our model has been developed for use with Matpower. If you are interested in a port to another language, please contact us. Acknowledgement: The authors thank M. Tyloo and K. Van Walstijn for their useful comments and remarks on the model. Sources: B. Wiegmans, GridKit extract of ENTSO-E interactive map Global Energy Observatory, GEO Power plants database Siemens, Power Engineering Guide
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22 December 2019
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0.1
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