PanTaGruEl - a pan-European transmission grid and electricity generation model
Description
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”
Files
pantagruel.zip
Files
(293.1 kB)
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Additional details
Funding
- Assessing robustness and identifying vulnerabilities in deterministically coupled dynamical systems on complex networks 200020_182050
- Swiss National Science Foundation
- The Vulnerabilities of Future Interdependent Energy Networks PYAPP2_154277
- Swiss National Science Foundation