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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
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Submitted on : Monday, October 7, 2013 - 3:15:50 PM
Last modification on : Friday, May 13, 2022 - 3:36:38 AM
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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⟩



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