End User
RWTH
Description
This service allows to improve the accuracy and prediction capability of the dynamic models used in model-based control systems used by DSOs
Core Capabilities
Optimization & Decision Support
Business Need
Model-based control systems are used for many applications including EMS, flexibility services, and congestion management. However, the model has uncertainties and might give inaccurate predictions.
Key Performance Indicators
Model prediction accuracy (Mean Absolute Error - MAE)
Real-time performance for the number of 3-phase buses
Data Provided
Real-time sensor data from distribution grid – API/MQTT/UDP/IEC61850/others - unknown size – with documentation – between 10ms and 1s resolution
Historical generation and/or load profiles - CSV format – unknown size – with documentation – 15 minute resolution
Real-time generation and/or load profiles – API/MQTT/UDP/IEC61850/others - unknown size – with documentation – 15 minute resolution
Distribution grid topology - CIM or MATPOWER – unknown size – with documentation – N/A
TEF
TEF DSO