Enhancing Flexibility in V2B Applications with Renewable Energy Resources

The incorporation of EV parking within vehicle-to-building (V2B) frameworks signifies not only a technological evolution but also a pivotal step towards constructing smarter and environmentally friendly urban environments. This initiative actively contributes to the optimization of system resources...

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Autores principales: Trimboli, Maximiliano, Antonelli, Nicolás, Avila, Luis
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2024
Materias:
Ciencias Informáticas
Electric vehicles
Smart Charging
Renewable Energy
Reinforcement Learning
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/177188
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-177188
record_format dspace
spelling I19-R120-10915-1771882025-03-07T20:06:58Z http://sedici.unlp.edu.ar/handle/10915/177188 Enhancing Flexibility in V2B Applications with Renewable Energy Resources Trimboli, Maximiliano Antonelli, Nicolás Avila, Luis 2024-08 2024 2025-03-07T17:02:42Z en Ciencias Informáticas Electric vehicles Smart Charging Renewable Energy Reinforcement Learning The incorporation of EV parking within vehicle-to-building (V2B) frameworks signifies not only a technological evolution but also a pivotal step towards constructing smarter and environmentally friendly urban environments. This initiative actively contributes to the optimization of system resources while also enabling the incorporation of renewable energy resources. In this study, we propose the development of reinforcement learning (RL) algorithms for the management of smart parking lots, aiming to minimize building energy purchases from the grid while ensuring efficient charging of EVs. The proposed methods obtained a 15% to 17% improvement in the evaluation reward in comparison with rule based method as a benchmark. In the realm of grid energy, they saved 9 to 11% in average purchase cost. In essence, these algorithms, after training, make more efficient decisions than more traditional control methods while ensuring electric vehicle (EV) charging. Sociedad Argentina de Informática e Investigación Operativa Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 223-236
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Electric vehicles
Smart Charging
Renewable Energy
Reinforcement Learning
spellingShingle Ciencias Informáticas
Electric vehicles
Smart Charging
Renewable Energy
Reinforcement Learning
Trimboli, Maximiliano
Antonelli, Nicolás
Avila, Luis
Enhancing Flexibility in V2B Applications with Renewable Energy Resources
topic_facet Ciencias Informáticas
Electric vehicles
Smart Charging
Renewable Energy
Reinforcement Learning
description The incorporation of EV parking within vehicle-to-building (V2B) frameworks signifies not only a technological evolution but also a pivotal step towards constructing smarter and environmentally friendly urban environments. This initiative actively contributes to the optimization of system resources while also enabling the incorporation of renewable energy resources. In this study, we propose the development of reinforcement learning (RL) algorithms for the management of smart parking lots, aiming to minimize building energy purchases from the grid while ensuring efficient charging of EVs. The proposed methods obtained a 15% to 17% improvement in the evaluation reward in comparison with rule based method as a benchmark. In the realm of grid energy, they saved 9 to 11% in average purchase cost. In essence, these algorithms, after training, make more efficient decisions than more traditional control methods while ensuring electric vehicle (EV) charging.
format Objeto de conferencia
Objeto de conferencia
author Trimboli, Maximiliano
Antonelli, Nicolás
Avila, Luis
author_facet Trimboli, Maximiliano
Antonelli, Nicolás
Avila, Luis
author_sort Trimboli, Maximiliano
title Enhancing Flexibility in V2B Applications with Renewable Energy Resources
title_short Enhancing Flexibility in V2B Applications with Renewable Energy Resources
title_full Enhancing Flexibility in V2B Applications with Renewable Energy Resources
title_fullStr Enhancing Flexibility in V2B Applications with Renewable Energy Resources
title_full_unstemmed Enhancing Flexibility in V2B Applications with Renewable Energy Resources
title_sort enhancing flexibility in v2b applications with renewable energy resources
publishDate 2024
url http://sedici.unlp.edu.ar/handle/10915/177188
work_keys_str_mv AT trimbolimaximiliano enhancingflexibilityinv2bapplicationswithrenewableenergyresources
AT antonellinicolas enhancingflexibilityinv2bapplicationswithrenewableenergyresources
AT avilaluis enhancingflexibilityinv2bapplicationswithrenewableenergyresources
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