The current power system and – to a much greater extent – the future one are characterized by a high share of renewable generation. The presence of non-synchronous generators leads to a grid with low rotational inertia and less spinning reserves, which makes the grid vulnerable to large frequency excursions and large rate-of-change-of-frequency (RoCoF) values. This poses as a risk for conventional generators.

In order to minimize this risk FLEXITRANSTORE will develop and demonstrate control techniques that predict grid behavior under frequency excursions and other transient phenomena, according to physics-based and measurements-based models. Moreover, a governor-based and an excitation-based Power System Stabilizer (PSS) will be developed. These control solutions will be implemented into General Electric’s MarkVIe actual turbine and excitation controller. Since these models are used to predict grid behavior immediately after major events, it is vital to test the computational complexity and the computational times of models and algorithms, as predictions need to be generated within a few milliseconds.

Objectives - Ambition

  • To construct a grid model representing the grid behavior including all relevant Key Performance Indicators (KPI) for more flexible and robust synchronous generation control.
  • To develop and demonstrate novel tuning and controlling methods for PSS, aiming to damp oscillations that occur in grids with low rotational inertia after severe disturbances.