Leveraging Artificial Intelligence to Improve the Integration of Photovoltaic Energy into the Grid - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2024

Leveraging Artificial Intelligence to Improve the Integration of Photovoltaic Energy into the Grid

Résumé

In December 2023, the French photovoltaic (PV) installed capacity stood at 19 GWp. The French electricity transmission system operator (TSO) lacks power measurements for 20% of the fleet, which mostly correspond to small-scale (rooftop) systems. In the context of the rapid decarbonization of the electric mix, the PV installed capacity will continue to experience sustained growth in the coming years, and the so-called problem of poor PV observability threatens its long-term integration into the grid due to the uncertainties it creates. A better knowledge of the rooftop PV fleet, embodied in a nationwide technical registry recording the localization and characteristics of the PV installations, is necessary to improve PV observability. This working paper discusses how artificial intelligence (AI) can be reliably used to construct such a registry to improve the integration of rooftop PV into the grid.
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Dates et versions

hal-04846823 , version 1 (18-12-2024)

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Gabriel Kasmi, Laurent Dubus, Yves-Marie Saint-Drenan, Philippe Blanc. Leveraging Artificial Intelligence to Improve the Integration of Photovoltaic Energy into the Grid. 2024. ⟨hal-04846823⟩
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