Optimal routing for electric vehicle macro-groups in urban areas: Application to the city of Santiago, Chile

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dc.article.number133996
dc.catalogadoryvc
dc.contributor.authorTorre, Sebastián de la
dc.contributor.authorAguado, José
dc.contributor.authorSauma Santis, Enzo Enrique
dc.contributor.authorLozano-Martos, Alejandro
dc.date.accessioned2025-03-24T21:03:20Z
dc.date.available2025-03-24T21:03:20Z
dc.date.issued2024
dc.description.abstractWith increasing penetration of Electric Vehicles (EVs) and growing interest in Vehicle to Grid (V2G) technology, the route optimization problem for EVs and the interaction with the power grid is becoming a more relevant research topic. We aim to optimize the route selection and charging/discharging patterns to improve the overall economic profits of EVs, considering time-varying energy prices, location of charging infrastructure and traveling schedules for EVs. We propose an optimization-based approach for EV routing where vehicles may recharge on- the-route at public charging infrastructure as well as at privately-owned depots. The objective function considers charging/discharging strategies under both, net billing and net metering tariff schemes. We also study some emerging technological solutions, such as autonomous vehicles, that can introduce more flexibility to the system operations. The proposed approach is evaluated using an origin-destination survey and the real traffic map around Santiago, Chile. Our results show that, while most EVs made minimum-distance home-work trips, it is optimal for some EVs to make additional trips to charge at cheaper nodes or inject at more expensive nodes, resulting in significant profit variations. Additionally, different values of charger availability influence total profit, resulting in profit fluctuations of up to 2 % in our case study.
dc.description.funderMinisterio de Ciencia, Innovación y Universidades Project No. ENE. PID2022-142372OB-C22; “Intelligent Grid-Forming EV Hubs: Power processing, Control, Operation and Exploitation”. ANID/Millennium Scientific Initiative/ICN2021-023 (MIGA); ANID/FONDECYT-Regular/1220439 grants. Funding for open access charge: Universidad de Málaga / CBUA.
dc.format.extent9 páginas
dc.fuente.origenWoS
dc.identifier.doi10.1016/j.energy.2024.133996
dc.identifier.eissn1873-6785
dc.identifier.issn0360-5442
dc.identifier.urihttps://doi.org/10.1016/j.energy.2024.133996
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/102974
dc.identifier.wosidWoS_ID: 001373158000001
dc.information.autorucEscuela de Ingeniería; Sauma Santis, Enzo Enrique; 0000-0002-8555-9123; 74184
dc.language.isoen
dc.nota.accesocontenido completo
dc.publisherPergamon Elsevier Science LTD.
dc.revistaEnergy
dc.rightsacceso abierto
dc.rights.licenseCC BY-NC-ND Atribución-NoComercial-SinDerivadas Internacional 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectElectric vehicle aggregator
dc.subjectVehicle to grid
dc.subjectElectric vehicles
dc.subjectSmart charging
dc.subjectEV routing
dc.subjectAutonomous vehicles
dc.subject.ddc620
dc.subject.deweyIngenieríaes_ES
dc.subject.ods07 Affordable and Clean Energy
dc.subject.odspa07 Energía Asequible y No Contaminante
dc.titleOptimal routing for electric vehicle macro-groups in urban areas: Application to the city of Santiago, Chile
dc.typeartículo
dc.volumen313
sipa.codpersvinculados74184
sipa.trazabilidadWoS;2024-12-28
sipa.trazabilidadORCID;2025-03-03
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