ANEMOS Advanced Wind Power Forecasting. Operational Challenges and On-line Performance

Vincent Guénard (1) , Georges Kariniotakis (2) , Ignacio Marti (3)

1 École des Mines de Paris
2 CEP - Centre Énergétique et Procédés
3 CENER

A new integrated wind power forecasting system has been developed in the frame of the EU project ANEMOS. The system manages Numerical Weather Predictions (NWP) from different sources and alternative state-of-the-art Wind Power Prediction (WPP) models, producing an optimised forecast for each individual wind farm or clusters of wind farms. Forecast horizons can range from a few hours to a few days ahead. The forecasting system has been tested online in wind farms covering different environments in several countries in Europe. In this work the results of the first year of operational experience are presented. The paper focuses on the operational challenges and on benefits of the integrated multi-model approach versus forecasting by a single prediction model.

Mots clés: Wind energy; forecasting; wind integration; power systems; energy meteorology

Domaines: Sciences de l'ingénieur [physics]; Energie électrique

Vincent Guénard, Georges Kariniotakis, Ignacio Marti. ANEMOS Advanced Wind Power Forecasting. Operational Challenges and On-line Performance. European wind Energy Conference - EWEC 2007, European Wind Energy Association, May 2007, Milan, Italy. ⟨hal-00526249⟩