Mesoscale ensemble wind forecast for wind power forecasting

Vincent Guénard (1) , Jean Nicolau (2)

1 CEP - Centre Énergétique et Procédés
2 Météo-France

The aim of this study is to develop mesoscale ensemble wind forecasts using three systems: the PEARP ensemble system of Meteo France (10 members with 23 km resolution), the RAMS model nested in the ARPEGE (23 km resolution) of Meteo-France (18 members with 3 km resolution), the RAMS model nested in the PEARP system (10 members with 3 km resolution). These configurations have been implemented to simulate two strong wind events over a complex terrain wind farm. The results show promising ways to improve the accuracy of the wind forecasts in a wind power forecasting context.

Mots clés: Wind power forecasting; meteorological forecasts

Vincent Guénard, Jean Nicolau. Mesoscale ensemble wind forecast for wind power forecasting. European Wind Energy Conference & Exhibition EWEC 2008, Mar 2008, Brussels, Belgium. p. 70-76 - http://www.ewec2008proceedings.info/index.php. ⟨hal-00506242⟩