Assessment of probabilistic PV production forecasts performance in an operational context - Mines Paris Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

Assessment of probabilistic PV production forecasts performance in an operational context

Résumé

Nowadays, solar power (PV) capacity is undergoing a fast growth. The development of network management systems facilitating its penetration in the distribution network may rely on individual forecasts for each PV plant connected to the grid. This paper describes a probabilistic model for short-term forecasting of PV production which has been developed and tested under operational conditions in the frame of the Nice Grid demonstrator project in France. Detailed results on the performance of the forecasting tool are presented both in terms of deterministic and probabilistic forecasts for a portfolio of 35 PV installations. The results show that in general, even at the household producer level, the forecasts yield good performance.

Domaines

Energétique
Fichier principal
Vignette du fichier
SIW16_0230_paper_Bocquet.pdf (785.92 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01409042 , version 1 (13-12-2016)

Identifiants

  • HAL Id : hal-01409042 , version 1

Citer

Alexis Bocquet, Andrea Michiorri, Arthur Bossavy, Robin Girard, Georges Kariniotakis. Assessment of probabilistic PV production forecasts performance in an operational context. 6th Solar Integration Workshop - International Workshop on Integration of Solar Power into Power Systems, Nov 2016, Vienna, Austria. pp.6 - ISBN 978-3-9816549-3-6. ⟨hal-01409042⟩
198 Consultations
668 Téléchargements

Partager

Gmail Facebook X LinkedIn More