eFORT – Deliverable 3.1: Dynamic Cyber Risk Assessment Datasets

These datasets accompanies Deliverable 3.1 of the Horizon Europe project eFORT (Grant Agreement No. 101075665) and contains the results of large-scale Dynamic Cyber Risk Assessment (DCRA) simulations performed on three benchmark power-grid models using DIgSILENT PowerFactory. A total of ≈ 86,000 simulations were executed to generate joint probability density functions (PDFs) and quantify the impact of cyber-induced contingencies (e.g., load disconnections, protection activations) under best-case, worst-case, and mixed-case attack configurations. The dataset is structured into three subsets: IEEE 9-bus system (3 demand nodes): ~9,000 simulations covering three scenarios — best, worst, and mixed — each involving 1–3 attacked nodes (≈ 1,000 simulations per configuration). IEEE 39-bus system (19 demand nodes): ~56,000 simulations including all node-level combinations under best, worst, and mixed configurations (e.g., 1b18w … 18b1w), with ≈ 1,000 simulations per composition. PST-16 test system (43 demand nodes): ~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). Each subset includes detailed simulation parameters, node-level outcomes, and aggregated statistical indicators to support further research on risk propagation, resilience quantification, and data-driven cybersecurity assessment in electric power systems.