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Authors: Giuseppe Graber ; Vincenzo Galdi ; Vito Calderaro ; Francesco Lamberti and Antonio Piccolo

Affiliation: University of Salerno, Italy

ISBN: 978-989-758-292-9

ISSN: 2184-4968

Keyword(s): Charging Scheduling, Data Clustering, Electric Vehicles, Genetic Algorithms, Smart Charging.

Abstract: Electric vehicles (EVs) are emerging as the future of individual mobility systems in smart cities since they reduce greenhouse gas emissions and fossil fuel dependence. However, the deepening penetration of battery EVs forecasted for the incoming years could cause significant stress on distribution networks (DNs), as well as the need to address the growing energy demand. In order to limit the negative drawbacks associated with EVs charging demand, the paper proposes a centralized approach for the EVs smart charging, and its performance are compared with the uncontrolled charging approach. An optimization framework is formulated in order to reduce both the overall peak power demand and the EVs charging cost according to the electricity prices during the day. Finally, several Monte Carlo simulations are carried out to evaluate the benefits introduced by the proposed scheduling strategy on a real case study, in terms of charging cost for EVs’ users, satisfaction of EVs charging needs, an d flattening of the load profile. (More)

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Paper citation in several formats:
Graber, G.; Galdi, V.; Calderaro, V.; Lamberti, F. and Piccolo, A. (2018). Centralized Scheduling Approach to Manage Smart Charging of Electric Vehicles in Smart Cities.In Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-292-9, ISSN 2184-4968, pages 238-245. DOI: 10.5220/0006761002380245

@conference{smartgreens18,
author={Giuseppe Graber. and Vincenzo Galdi. and Vito Calderaro. and Francesco Lamberti. and Antonio Piccolo.},
title={Centralized Scheduling Approach to Manage Smart Charging of Electric Vehicles in Smart Cities},
booktitle={Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2018},
pages={238-245},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006761002380245},
isbn={978-989-758-292-9},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Centralized Scheduling Approach to Manage Smart Charging of Electric Vehicles in Smart Cities
SN - 978-989-758-292-9
AU - Graber, G.
AU - Galdi, V.
AU - Calderaro, V.
AU - Lamberti, F.
AU - Piccolo, A.
PY - 2018
SP - 238
EP - 245
DO - 10.5220/0006761002380245

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