IEEE bus

The growing digitalization of smart grids increases their exposure to zero-day cyberattacks, which exploit unknown vulnerabilities and remain difficult to detect with traditional techniques. This dataset was created to support research on anomaly detection and cybersecurity in reconfigurable smart grids, where dynamic topologies significantly expand the attack surface. It includes simulations of IEEE 14-, 69-, and 300-bus systems generated with MATPOWER and MATLAB under three conditions: normal operation, cyberattack scenarios, and network reconfigurations. The dataset provides both structural and behavioral features of the grid, enabling the study of system dynamics and vulnerability patterns. It is designed to be scalable, unlabeled at the raw data level, and suitable for benchmarking advanced detection models, particularly in graph-based learning and unsupervised approaches. By offering a standardized resource, this dataset facilitates reproducibility, comparison of algorithms, and the development of robust solutions to strengthen the resilience of critical energy infrastructures against emerging cyber threats.