Realization and energy optimization of a recharging station for electric vehicles with fixed storage and photovoltaic panels
| Autor: | Roszczypala, David, Batard, Christophe, Ginot, Nicolas, Poitiers, Frédéric |
|---|---|
| Přispěvatelé: | Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Advances in Science, Technology and Engineering Systems Journal Advances in Science, Technology and Engineering Systems Journal, Advances in Science Technology and Engineering Systems Journal (ASTESJ), 2021, Special Issue on Multidisciplinary Sciences and Engineering, 6 (3), pp.155-163. ⟨10.25046/aj060318⟩ Advances in Science, Technology and Engineering Systems Journal, 2021, Special Issue on Multidisciplinary Sciences and Engineering, 6 (3), pp.155-163. ⟨10.25046/aj060318⟩ |
| ISSN: | 2415-6698 |
| Popis: | International audience; In recent years, the number of work on smart grids has increased, in particular work on the issue of electric vehicles (EVs) charging, which will be a critical aspect of this in the coming years. The scientific research now offers effective tools to optimize energy flows within electricity grids and plan the load of EV fleets. However, the difficulties associated with the interoperability seem to be largely underestimated. The study conducted jointly by the IETR and Dropbird highlights the technological obstacles that significantly hinder the development of intelligent charging solutions, and tests the use of dynamic programming based algorithms to deal with these issues. |
| Databáze: | OpenAIRE |
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