Accéder directement au contenu Accéder directement à la navigation
Communication dans un congrès

State-of-the-art Methods and software tools for short-term prediction of wind energy production

Abstract : The installed wind energy capacity in Europe today is 20 GW, while the projections for 2010 according to the Kyoto protocol and the EC directives is up to 40-60 GW. The large-scale integration of wind energy emerges the use of advanced operational tools for short-term forecasting of the wind production in the next hours up to the next 2-7 days. End-users (independent power producers, electric companies, transmission system operators, etc) recognize the contribution of wind prediction for a secure and economic operation of the power system. Especially, in a liberalized electricity market, prediction tools enhance the position of wind energy compared to other forms of dispatchable generation. The paper presents in detail the state-of the-art on the methods, the software tools and the relevant R&D projects for wind power forecasting. The paper finally presents experience by end-users that run operationally such prediction systems today as stand-alone applications or interfaced to EMS/DMS systems. The paper reviews the related literature on wind power prediction. Emphasis is given on operational tools such as WPPT, Prediktor, Zephyr, Previento, SIPREÓLICO, LocalPred, More-Care etc. The various models or tools are classified using criteria like: · The type of implemented approach i.e. timeseries (neural networks, ARMA etc) or physical. · The specific spatial scale focused by the models (regional, wind park scale, micro-scale). · The on-line performance of the prediction tools and their coupling to Energy Management Systems.
Type de document :
Communication dans un congrès
Liste complète des métadonnées

Littérature citée [20 références]  Voir  Masquer  Télécharger

https://hal-mines-paristech.archives-ouvertes.fr/hal-00530022
Contributeur : Magalie Prudon <>
Soumis le : mercredi 27 octobre 2010 - 11:35:35
Dernière modification le : jeudi 17 septembre 2020 - 12:30:07
Archivage à long terme le : : vendredi 28 janvier 2011 - 02:46:34

Fichier

fiche_00530022.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

  • HAL Id : hal-00530022, version 1

Citation

Gregor Giebel, L. Landberg, Georges Kariniotakis, Richard Brownsword. State-of-the-art Methods and software tools for short-term prediction of wind energy production. EWEC 2003 (European Wind Energy Conference and exhibition), Jun 2003, Madrid, Spain. ⟨hal-00530022⟩

Partager

Métriques

Consultations de la notice

1598

Téléchargements de fichiers

3523