End User
ELES
Description
This service will leverage AI technologies for rapid detection, localisation, and classification of faults in transmission grids. The analysis will be based on recordings from protection relays, which are essential for accurate event analysis and verification of relay operation. By applying AI to these disturbance records, the service will enable faster understanding of fault causes and assess the correctness of protection system responses. This contributes to improved reliability, faster decision-making, and greater resilience of the transmission network in the face of unexpected disturbances.
Core Capabilities
Monitoring & Anomaly Detection
Predictive & Prescriptive Analytics
Automation & Control Systems
Business Need
The service addresses a challenge in today’s grid operation—manual analysis of protection relay recordings following system disturbances. This process requires significant expert effort to extract relevant information from large datasets, often filled with non-critical or unrelated events. Such an approach is inefficient and prone to oversight. The AI-based service to be developed will automate fault detection, localisation, and classification, reducing the time and effort required. Moreover, it will support analysis not only of trip events but also of non-trip disturbances, providing a more complete picture of grid conditions and enabling proactive identification of hidden or developing issues.
Key Performance Indicators
Classification accuracy
Response time for events
Reduction in required time for analysis (%)
Data Provided
Quasi-real-time and historical data from protection relays
Historical operation logs
Proprietary datasets from TSO technical database
TEF
TEF TSO