eprintid: 2695
rev_number: 8
eprint_status: archive
userid: 69
dir: disk0/00/00/26/95
datestamp: 2015-05-21 09:00:30
lastmod: 2015-05-21 09:00:30
status_changed: 2015-05-21 09:00:30
type: conference_item
metadata_visibility: show
creators_name: Mureddu, Mario
creators_name: Damiano, Alfonso
creators_name: Musio, M.
creators_name: Caldarelli, Guido
creators_name: Chessa, Alessandro
creators_name: Scala, Antonio
creators_id: 
creators_id: 
creators_id: 
creators_id: guido.caldarelli@imtlucca.it
creators_id: alessandro.chessa@imtlucca.it
creators_id: 
title: An agent based approach for the development of EV fleet Charging Strategies in Smart Cities 
ispublished: inpress
subjects: HT
subjects: T1
divisions: EIC
full_text_status: none
pres_type: paper
keywords: Charging stations, Cities and towns, Customer satisfaction, Planning, Roads, Vehicles
abstract: In the present paper an agent based approach, addressed to simulate the behaviour of a Plug-in Electric Vehicles (PEV) fleet into a Smart City, is presented. Considering the traffic data-set available from mobility plans, a spatial and time model, representing the evolution of travel patterns, can be developed considering each vehicle as an agent. The following statistical analysis in space and time of the agent behaviours is used to plan the PEV charging infrastructure of municipalities. The proposed planning methodology has been tested on an European city in order to evaluate the effectiveness of the proposed procedure. Such charging infrastructure, defined according to the mobility needs, has been tested and used to evaluate the customer satisfaction of PEV users in term of charging demand. The proposed charging system has been implemented to estimate the average daily energy profiles for charging the smart city PEV fleet during a typical workday. This has been finally used as one day ahead energy reference profile to develop a market-oriented EV charging strategies. The performance of the proposed smart charging strategies has been finally simulated and compared.
date: 2014-12
publisher: IEEE
event_title: IEEE International Electric Vehicle Conference
event_location: Florence
event_dates: 17-19 December, 2014
event_type: conference
id_number: 10.1109/IEVC.2014.7056178
refereed: TRUE
isbn: 978-1-4799-6075-0
book_title: IEEE International Electric Vehicle Conference
official_url: http://ieeexplore.ieee.org/xpl/abstractAuthors.jsp?tp=&arnumber=7056178&queryText%3Dagent+based+approach+fro+the+development+of+ev
citation:   Mureddu, Mario and Damiano, Alfonso and Musio, M. and Caldarelli, Guido and Chessa, Alessandro and Scala, Antonio  An agent based approach for the development of EV fleet Charging Strategies in Smart Cities.  In: IEEE International Electric Vehicle Conference, 17-19 December, 2014, Florence   ISBN 978-1-4799-6075-0.    (In Press)   (2014)