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Authors: Antoine Dubois ; Antoine Wehenkel ; Raphael Fonteneau ; Frédéric Olivier and Damien Ernst

Affiliation: University of Liège, Belgium

Keyword(s): Multi-agent System, Electric Vehicles, Renewable Energy.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Formal Methods ; Informatics in Control, Automation and Robotics ; Information Systems Analysis and Specification ; Intelligent Control Systems and Optimization ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Technologies ; Multi-Agent Systems ; Operational Research ; Planning and Scheduling ; Simulation ; Simulation and Modeling ; Software Engineering ; Symbolic Systems

Abstract: 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. (More)

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Paper citation in several formats:
Dubois, A.; Wehenkel, A.; Fonteneau, R.; Olivier, F. and Ernst, D. (2017). An App-based Algorithmic Approach for Harvesting Local and Renewable Energy using Electric Vehicles. In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-219-6; ISSN 2184-433X, SciTePress, pages 322-327. DOI: 10.5220/0006250803220327

@conference{icaart17,
author={Antoine Dubois. and Antoine Wehenkel. and Raphael Fonteneau. and Frédéric Olivier. and Damien Ernst.},
title={An App-based Algorithmic Approach for Harvesting Local and Renewable Energy using Electric Vehicles},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2017},
pages={322-327},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006250803220327},
isbn={978-989-758-219-6},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - An App-based Algorithmic Approach for Harvesting Local and Renewable Energy using Electric Vehicles
SN - 978-989-758-219-6
IS - 2184-433X
AU - Dubois, A.
AU - Wehenkel, A.
AU - Fonteneau, R.
AU - Olivier, F.
AU - Ernst, D.
PY - 2017
SP - 322
EP - 327
DO - 10.5220/0006250803220327
PB - SciTePress