Reference : An App-based Algorithmic Approach for Harvesting Local and Renewable Energy Using El...
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Energy
Engineering, computing & technology : Computer science
http://hdl.handle.net/2268/204927
An App-based Algorithmic Approach for Harvesting Local and Renewable Energy Using Electric Vehicles
English
Dubois, Antoine []
Wehenkel, Antoine []
Fonteneau, Raphaël mailto [Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Dép. d'électric., électron. et informat. (Inst.Montefiore) >]
Olivier, Frédéric mailto [Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids >]
Ernst, Damien mailto [Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids >]
Feb-2017
Proceedings of the 9th International Conference on Agents and Artificial Intelligence (ICAART 2017)
Yes
No
International
9th International Conference on Agents and Artificial Intelligence (ICAART 2017)
from 24-02-2017 to 26-02-2017
Porto
Portugal
[en] Multi-agent system ; Electric vehicles ; Renewable energy
[en] The emergence of electric vehicles (EVs), combined with the rise of renewable energy production capacities, will strongly impact the way electricity is produced, distributed and consumed in the very near future. This position paper focuses on the problem of optimizing charging strategies for a fleet of EVs in the context where a significant amount of electricity is generated by (distributed) renewable energy. It exposes how a mobile application may offer an efficient solution for addressing this problem. This app can play two main roles. Firstly, it would incite and help people to play a more active role in the energy sector by allowing photovoltaic (PV) panel owners to sell their electrical production directly to consumers, here the EVs’ agents. Secondly, it would help distribution system operators (DSOs) or transmission system operators (TSOs) to modulate more efficiently the load by allowing them to influence EV charging behaviour in real time. Finally, the present paper advocates for the introduction of a two-sided market-type model between EV drivers and electricity producers.
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/2268/204927

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