The aim of this work package is to develop models and test datasets to complement the use of real data for comprehensive validation and optimisation of grid data analysis methods, to determine the grid model parameters such as impedance and grid inertia from real grid measurement data and implement digital twins of real grids for the simulation of a range of possible grid scenarios and measurement conditions, as well as to use software based simulation models and laboratory based grid simulators to generate test datasets for the general testing of grid data analysis methods.

This will be done by developing new and exploiting and enhancing existing network models. Usage will be made from publicly available grid models (e.g. IEEE ones), and information provided by grid operators. Where useful, the software-based simulations will integrate real instrumentation (like PMUs, sensors, etc.) to the simulation (lab-based simulators) to improve the simulation quality.

The requirements and the parameters needed for simulation of different scenarios will be defined in a specific task. Some of the parameters will be determined based on the real measurement data.  Furthermore, simulation models will be designed for reproducing a range of possible grid scenarios and measurement conditions that include the following scenarios:

• frequency events;

• sub-synchronous oscillations events;

• power quality disturbances; 

• grid asset faults;

• grid congestions and local system imbalance; 

Emphasis will be placed on the uncertainty evaluation of the models and their assets. For each of the simulation scenarios, reference test datasets will be generated.