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Assessment of probabilistic PV production forecasts performance in an operational context

Authors :
Alexis Bocquet
Andrea Michiorri
Arthur Bossavy
Robin Girard
Georges Kariniotakis
Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques ( PERSEE )
MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University ( PSL )
This work was performed in the frame Nice Grid, project supported by ADEME (Agence de l’Environnement et la Maitrise de l’Energie) in the frame of the initiative 'Investments for the Future'. Nice Grid is also part of the European Project GRID4EU (Grant No 268206) funded in part by the European Commission under the 7th Framework Program.
Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques (PERSEE)
MINES ParisTech - École nationale supérieure des mines de Paris
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)
Source :
6th Solar Integration Workshop-International Workshop on Integration of Solar Power into Power Systems, 6th Solar Integration Workshop-International Workshop on Integration of Solar Power into Power Systems, Nov 2016, Vienna, Austria. Energynautics GmbH, pp.6-ISBN 978-3-9816549-3-6, 2016, Proceedings 6th Solar Integration Workshop, HAL, 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
Publication Year :
2016
Publisher :
HAL CCSD, 2016.

Abstract

International audience; 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.

Details

Language :
English
Database :
OpenAIRE
Journal :
6th Solar Integration Workshop-International Workshop on Integration of Solar Power into Power Systems, 6th Solar Integration Workshop-International Workshop on Integration of Solar Power into Power Systems, Nov 2016, Vienna, Austria. Energynautics GmbH, pp.6-ISBN 978-3-9816549-3-6, 2016, Proceedings 6th Solar Integration Workshop, HAL, 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
Accession number :
edsair.dedup.wf.001..844b95927369cd4c747c3c0ed5bfa739