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| Main Authors: | , , , , |
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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.17473141 |
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Table of Contents:
- <p>These datasets accompanies <em>Deliverable 3.1 of the Horizon Europe project eFORT (Grant Agreement No. 101075665)</em> and contains the results of large-scale <strong>Dynamic Cyber Risk Assessment (DCRA)</strong> simulations performed on three benchmark power-grid models using <strong>DIgSILENT PowerFactory</strong>.</p> <p>A total of <strong>≈ 86,000 simulations</strong> were executed to generate joint probability density functions (PDFs) and quantify the impact of cyber-induced contingencies (e.g., load disconnections, protection activations) under <em>best-case, worst-case,</em> and <em>mixed-case</em> attack configurations.</p> <p>The dataset is structured into three subsets:</p> <ul> <li> <p><strong>IEEE 9-bus system (3 demand nodes):</strong> ~9,000 simulations covering three scenarios — best, worst, and mixed — each involving 1–3 attacked nodes (≈ 1,000 simulations per configuration).</p> </li> <li> <p><strong>IEEE 39-bus system (19 demand nodes):</strong> ~56,000 simulations including all node-level combinations under best, worst, and mixed configurations (e.g., 1b18w … 18b1w), with ≈ 1,000 simulations per composition.</p> </li> <li> <p><strong>PST-16 test system (43 demand nodes):</strong> ~21,000 simulations spanning all partitions across zones A/B/C/AB/AC/BC/ABC, each executed under best, worst, and mixed attack conditions (≈ 1,000 simulations per batch).</p> </li> </ul> <p>Each subset includes detailed simulation parameters, node-level outcomes, and aggregated statistical indicators to support further research on <strong>risk propagation, resilience quantification,</strong> and <strong>data-driven cybersecurity assessment</strong> in electric power systems.</p>