Ancillary services of regions with high shares of renewable energies for regional, interregional and European markets
October 2019 to September 2022
REgions will enable fluctuating renewable energies (RES) to further support the energy system on several levels: regional, interregional and the European markets. RES, mostly grid connected at lower voltage levels, can help stabilizing the regional grid if intelligently operated. In addition, RES can also contribute to the stability of the higher-level grids, e.g. by intelligently rescheduling their balancing bids in the event of re-dispatch. REgions will analyse how RES can support the stabilisation of the energy system by improving traditional Virtual Power Plants (VPPs) to include also regional and interregional services and further improve the participation on the markets. Therefore, the whole tool-chain of the VPP will be enhanced in REgions as well as the interaction of different VPPs on regional and interregional level: nowcasting of PV, price forecasts (intraday, imbalance, redispatch) as well as the probability of grid accurances (re-dispatch, congestion, voltage, balancing).
The Austrian part of REgions is focused on investigating how to improve the prediction accuracy along the full value chain of volatile renewable electric energy sources. The project REgions spans from meteorological forecast via forecast of the electric production of PV power plant output to control of VPPs and monetary implications of minimized prediction accuracies.
The main objectives of the Austrian part of REgions is (1) to investigate first the still insufficient coupling of meteorological prediction, (2) implement improved physical modelling of PV plant output prediction, (3) investigate the impact of improved forecasting on regional virtual power plant (VPP) controlling, (4) analyse interregional VPP interaction and (5) evaluate the impact on Euro-value for balancing prediction of regional and interregional electric energy production. Improved models for increasing the accuracy of prediction will be investigated and validated.