Towards smart integration of wind generation
Résumé
This paper presents current and future challenges for the integration of wind power into the grid using shortterm predictions. This includes the currently running virtual laboratories of the EU project POW'WOW as well as the research methodology of the soon-to-start EU projects ANEMOS.PLUS and SafeWind, which aim to develop advanced tools for the management of electricity grids with large-scale wind generation and to get a better handle on extreme events. Focus in ANEMOS.PLUS is given to functions such as optimal scheduling, reserves estimation, bottleneck management, storage management and also optimal trading in electricity markets. For all of them, short-term forecasting as well as uncertainty estimation plays a major role. However, this information is not yet fully integrated in daily practices. The aim is thus to propose advanced tools for the above functions that integrate the full information on the expected wind generation. In order to demonstrate the value of these tools for end-users, demonstration projects in eight European countries including Denmark are defined. SafeWind on the other hand is a project more focussed on research, especially research in extreme events. Those can be extreme winds, but also extreme forecast errors, requiring an extraordinary amount of reserve capacity. In order to help forecasters to estimate their models against the state-of-the-art models, a Virtual Laboratory for short-term prediction has been instantiated under the POW'WOW project.