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Evaluating the unavailability of interconnected power and communication networks with open-source tools on a petascale cluster

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Zenodo2026-07-29 更新2026-08-02 收录
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---------------------------Basic information---------------------------1. Dataset: Evaluating the unavailability of interconnected power and communication networks with open-source tools on a petascale cluster Citation: Běloch, M., Praks, P., Praksová, R., Fujdiak, R., Vrtal, M., Briš, R., & Brkić, D. (2025). Evaluating the unavailability of interconnected power and communication networks with open-source tools on a petascale cluster. Dataset 2. DOI: 10.5281/zenodo.21681621 3. Contact information Name: Pavel Praks Institution: VSB-Technical University of Ostrava E-mail: pavel.praks@vsb.cz ORCID: https://orcid.org/0000-0002-3913-7800 4. Dataset archiving (publication) date: 2026-07-29 5. Place of archiving (publication): Ostrava, Czechia 6. Dataset description: The dataset contains 20 figures and 5 tables from the original research. Files are provided in TIFF and PNG formats. The dataset also contains supplementary research outputs beyond the peer-reviewed publication, see the directory Supplementary_Materials, which includes Python and R scripts used during the analyses and examples of generated outputs, see directory Supplementary_Materials/Results. The dataset structure is: Figures, Tables, Supplementary_Materials.WhereFigures:Figure 1. Acyclic graph of the distribution network (Vrtal et al., 2023a).Figure 2. Acyclic graph of the communication grid (Vrtal et al., 2023a).Figure 3. Acyclic graph of the interconnected grid (Vrtal et al., 2023a).Figure 4. Results of the FaultTree package for the distribution network.Figure 5. Results of the FaultTree package for the communication grid.Figure 6. Results of the FaultTree package for the interconnected grid.Figure 7. Referential result with indicated unavailability values for 10,000 and 40,000 h.Figure 8. Results of unavailability modelling for 10,000 h with a step = 1 h and tolerance = $10^{-6}$.Figure 9. Results of unavailability modelling for 10,000 h with a step = 1 h and tolerance = $10^{-5}$.Figure 10. Results of unavailability modelling for 10,000 h with a step = 10 h and tolerance = $10^{-6}$.Figure 11. Results of unavailability modelling for 10,000 h with a step = 10 h and tolerance = $10^{-5}$.Figure 12. Results for 40,000 h with a step = 1 h and tolerance = $10^{-5}$.Figure 13. Results for 40,000 h with a step = 10 h and tolerance = $10^{-6}$.Figure 14. Results for 40,000 h with a step = 10 h and tolerance = $10^{-5}$.Figure 15. The computation time of ftaproxim for the distribution network model.Figure 16. System unavailability (y-axis) during mission time (x-axis), step = 50, tolerance = 0.001.Figure 17. System unavailability (y-axis) during mission time (x-axis), step = 80, tolerance = 0.0001.Figure 18. System unavailability (y-axis) during mission time (x-axis), step = 100, tolerance = $1 \times 10^{-5}$.Figure 19. System unavailability (y-axis) during mission time (x-axis), step = 50, tolerance = 0.0001.Figure 20. System unavailability (y-axis) during mission time (x-axis), step = 8, tolerance = $1 \times 10^{-6}$. Tables:Table 1. Characteristic values of the grids’ components.Table 2. Comparison of existing studies and articles.Table 3. The minimal cut sets for the power grid system.Table 4. Numerical results for the mission time of 10,000 h.Table 5. Numerical results for the mission time of 40,000 h. Supplementary_Materials: See the file HOW_TO_RUN.txt for details. 7. Funding: This research was supported by EU funds under the project ‘Increasing the resilience of power grids in the context of decarbonisation, decentralisation and sustainable socioeconomic development’, CZ.02.01.01/00/23_021/0008759, through the Operational Programme Johannes Amos Comenius. This research was also funded by the Ministry of the Interior of the Czech Republic (project No. VK01030109) in grant program ‘Open call in security research 2023–2029’. This work was further supported by the Ministry of Education, Youth and Sports of the Czech Republic through the e-INFRA CZ (ID:90254). In addition, this work was supported by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia, grant number: 451-03-136/2025-03/200102. 8. License: CC BY 4.0

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2026-07-29
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