Very short term forecasting of the Global Horizontal Irradiance through Helioclim maps

Abstract : To handle the increasing penetration rate of intermittent energies such as photo-voltaic power plants, grid managers require accurate forecasts of the primary resources. In this paper, we propose a new method to forecast the Global Horizontal Irradiance (GHI) up to 1 hour using HelioClim-3 maps as only inputs. HelioClim-3 maps are Solar Surface Irradiance (SSI) maps derived from geostationary satellite images through the Heliosat-2 method. We use a block matching algorithm to retrieve the motion vector field, allowing us to anticipate the future on site GHI values. The results were then corrected following a statistical post-processing step tuned on a training data set. The model has been tested on a one year data set acquired on the SIRTA site, Polytechnique campus, France. Besides the very promising performances of the proposed method compared to the persistence model, we extracted additional forecast information from the SSI maps like the minimum and maximum expected values, which enlighten the model's potential and limitations.
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https://hal-mines-paristech.archives-ouvertes.fr/hal-01027473
Contributeur : Magalie Prudon <>
Soumis le : mardi 22 juillet 2014 - 09:42:49
Dernière modification le : lundi 12 novembre 2018 - 10:55:18

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Romain Dambreville, Philippe Blanc, Jocelyn Chanussot, Dider Boldo, Stéphanie Dubost. Very short term forecasting of the Global Horizontal Irradiance through Helioclim maps. 5th International Renewable Energy Congress (IREC), Mar 2014, Hammamet, Tunisia. 6 p. - ISBN 978-1-4799-2196-6, ⟨10.1109/IREC.2014.6826905⟩. ⟨hal-01027473⟩

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