Skip to Main content Skip to Navigation
Conference papers

Impact of PV forecasts uncertainty on batteries management in microgrids

Abstract : This paper is motivated by the question of the impact that uncertainty in PV forecasts has in forecast-based battery schedule optimisation in microgrids in presence of network constraints. We examine a specific case where forecast accuracy can be impacted by the lack of enough data history to finetune the forecasting models. This situation can be expected to be frequent with new PV installations. A probabilistic PV production forecast algorithm is used in combination with a battery schedule optimisation algorithm. The size of the learning dataset of the forecast algorithm is modified in order to simulate the application of the system to new plants and the impact on the performance in the management of the battery is analysed
Document type :
Conference papers
Complete list of metadata

Cited literature [16 references]  Display  Hide  Download

https://hal-mines-paristech.archives-ouvertes.fr/hal-00870552
Contributor : Magalie Prudon <>
Submitted on : Monday, October 7, 2013 - 3:15:50 PM
Last modification on : Thursday, September 24, 2020 - 5:20:17 PM
Long-term archiving on: : Friday, April 7, 2017 - 8:06:13 AM

File

Michiorri_Powertech2013.pdf
Files produced by the author(s)

Identifiers

Citation

Andrea Michiorri, Arthur Bossavy, Georges Kariniotakis, Robin Girard. Impact of PV forecasts uncertainty on batteries management in microgrids. PowerTech 2013 - Towards carbon free society through smarter grids, Jun 2013, Grenoble, France. pp.1-6 - Article number 13881974 - ISBN 978-1-4673-5667-1, ⟨10.1109/PTC.2013.6652254⟩. ⟨hal-00870552⟩

Share

Metrics

Record views

428

Files downloads

860