OPTIMIZATION BY STOCHASTIC PROGRAMMING FOR THE AGGREGATION OF A COMMERCIAL VIRTUAL POWER PLANT - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2010

OPTIMIZATION BY STOCHASTIC PROGRAMMING FOR THE AGGREGATION OF A COMMERCIAL VIRTUAL POWER PLANT

Résumé

Future large penetration of Distributed Energy Resources (DER) leads to explore the potential of technical integration of these dispersed small-size generators into the distribution network. New actors may emerge, devoted to the commercial or technical aggregation, in order to provide ancillary services or to gain global productivity. Aggregating a set of small producers into a commercial Virtual Power Plant could enable its market participation like a conventional power plant. The function of aggregation should be able to reduce imbalance risk in the market, by the means of an existing methodology based on stochastic programming. This methodology is described and extended to new generation characteristics, with a discussion about the necessary improvements and about its application to a real-size case, on a rural alpine area.
Fichier principal
Vignette du fichier
Foggia_OIPE_2010_version28-09-10.pdf (256.14 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00523053 , version 1 (04-10-2010)

Identifiants

  • HAL Id : hal-00523053 , version 1

Citer

Guillaume Foggia, Benoît Delinchant, Nouredine Hadjsaid, Frédéric Wurtz. OPTIMIZATION BY STOCHASTIC PROGRAMMING FOR THE AGGREGATION OF A COMMERCIAL VIRTUAL POWER PLANT. XI-th International Workshop on Optimization and Inverse Problems in Electromagnetism (OIPE 2010), Sep 2010, Sofia, Bulgaria. pp.ISBN 978-954-438-855-3. ⟨hal-00523053⟩
291 Consultations
351 Téléchargements

Partager

Gmail Facebook X LinkedIn More