dc.contributorTorres Contreras, Santiago Patricio
dc.contributorGonzález Morales, Luis Gerardo
dc.creatorSánchez Ortega, David Alejandro
dc.date.accessioned2021-10-29T19:41:09Z
dc.date.accessioned2022-10-21T01:04:59Z
dc.date.available2021-10-29T19:41:09Z
dc.date.available2022-10-21T01:04:59Z
dc.date.created2021-10-29T19:41:09Z
dc.date.issued2021-10-29
dc.identifierhttp://dspace.ucuenca.edu.ec/handle/123456789/37232
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4628613
dc.description.abstractElectric vehicles (EVs) are expected to play an important role in the transportation system due to environmental problems and energy crises that affect the planet today. The deployment of a large number of vehicles requires adequate demand management, in order to provide lower expansion and investment costs, as well as avoid future congestion in the electrical distribution network. This article analyzes the energy exchange between electric vehicles and the distribution network considering the V2G capacity in the charging stations and under a price scheme according to time of use (TOU), an incentive for EVs to be charged and discharged when electricity prices associated with demand change. In this study, the electric vehicle aggregator is responsible for providing energy and controlling the charging pattern of electric vehicles within parking lots. The proposed model allows determining the optimal parking lot loading and unloading patterns based on a method that maximizes the aggregator's profits. In addition, the Monte Carlo technique is applied to manage the uncertainties associated with the behavior of vehicles during the day
dc.languagespa
dc.publisherUniversidad de Cuenca
dc.relationTE;486
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsopenAccess
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.subjectIngeniería Eléctrica
dc.subjectGestión de carga
dc.subjectIntercambio de energía
dc.subjectEstacionamientos
dc.titlePlanificación óptima del intercambio de energía de vehículos eléctricos en estacionamientos considerando incertidumbres
dc.typebachelorThesis


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