AI Serving Grid Stability

The dataset presented is a valuable resource designed for benchmarking anomaly detection algorithms in the context of the European electricity grid. It is derived from the operation of the PICASSO platform, which is the world's first system for cross-border control of secondary control reserves, aimed at enhancing efficiency in the European electricity market. Dataset Overview Data Source: PICASSO platform Duration: 202 days of operational data Control Areas: Two control areas connected to the PICASSO platform Sampling Rate: Four seconds Total Features: 13 features Test Segments: 20 labeled two-hour test segments with known anomalies Key Features Feature Description aFRR activation Currently activated Automatic Frequency Restoration Reserve Corrected Demand Demand adjusted for corrections calculated by PICASSO aFRR request Target aFRR activation after optimization by PICASSO ControlBandPos/Neg Available aFRR for the control area LFCInput Current imbalance of the control area FRCE ACE correction Demand Current imbalance including activated aFRR and mFRR Correction Correction value calculated by PICASSO ParticipationCMO/IN Participation status in imbalance netting / merit order Band Limited Corrected Demand TSO demand capped by maximum available aFRR Control Area Identifier of the control area Anomaly Types The dataset includes various anomaly types, characterized by significant deviations in the control signals. This includes discrepancies between requested and activated reserves, delays in signal responses, and other irregular behaviors identified through expert validation. Significance This dataset serves to advance research in anomaly detection, providing a benchmark for developing novel algorithms to enhance grid stability. It highlights the complexities of modern energy systems and the importance of automated anomaly detection for operational safety and efficiency. The dataset is accessible for researchers aiming to improve anomaly detection methodologies within the energy sector, fostering innovation and collaboration across the industry. An detailed describtion can be found here.