A New Electric Power Forecasting Model for Wind Farms

  1. Ramírez-Rosado, I.J. 1
  2. Fernández-Jiménez, L.A. 1
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

Livre:
Proceedings of the 23rd IASTED International Conference on Modelling, Identification, and Control

Éditorial: ACTA PRESS

ISBN: 0-88986-371-7

Année de publication: 2004

Volumen: 23

Pages: 398-401

Type: Chapitre d'ouvrage

SCOPUS: 2-s2.0-11844297314 WoS: WOS:000228522400069 GOOGLE SCHOLAR

Résumé

The integration of wind energy conversion systems in the electric power networks has become an important problem in their daily operation. The intermittent nature of wind makes difficult to guarantee the electric power generated in wind farms for the next hours. In this paper a new model based on clustering and data regression is used for the short-term forecast of the electric power generated in a wind farm. Only past values of electric power production are used. The results obtained, with real life data, from this model are better than those obtained from a relevant set of forecasting models using the same input data.