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)