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dc.contributor.advisorGómez San Román, Tomás
dc.contributor.advisorSöder, Lennart
dc.contributor.authorMomber, Ilan
dc.contributor.otherUniversidad Pontificia Comillas, Escuela Técnica Superior de Ingeniería (ICAI)es_ES
dc.date.accessioned2015-11-04T14:29:28Z
dc.date.available2015-11-04T14:29:28Z
dc.date.issued2015
dc.identifier.urihttp://hdl.handle.net/11531/4242
dc.descriptionPrograma de Doctorado Erasmus Mundus en Tecnologías y Estrategias Energéticas Sostenibles / Erasmus Mundus Joint Doctorate in Sustainable Energy Technologies and Strategieses_ES
dc.description.abstractBoth electric power systems and the transportation sector are essential constituents to modern life, enhancing social welfare, enabling economic prosperity and ultimately providing well-being to the people. However, to mitigate adverse climatological effects of emitting greenhouse gases, a rigorous de-carbonization of both industries has been set on the political agenda in many parts of the world. To this end, electrifying personal vehicles is believed to contribute to an affordable and reliable energy model that provides tolerable environmental impact. Representing an inherently flexible electricity demand, plug-in electric vehicles (PEVs) promise to facilitate the integration of variable renewable energy sources. Yet, how should the PEVs' system usage be ideally coordinated for providing benefits to electric power systems in the presence of resource scarcity? The thesis develops a model of an aggregation agent as the interface to the wholesale electricity generators, which is envisaged to be in charge of procuring energy in electricity markets, exposed to uncertainty in prices, fleet availability and demand requirements. This aggregator could coordinate the PEV charging either with direct load control (DLC), i.e., sending power set points to the individual vehicles, or with indirect load control (ILC), i.e., by sending retail price signals. Contributing to the technical literature this thesis has on the one hand proposed a two-stage stochastic linear program for the PEV aggregator's day-ahead and balancing decisions with DLC over a large fleet of PEVs, while accounting for conditional value at risk in the objective function. On the other hand, it has put forward a formulation of ILC coordination as a bi-level optimization problem given by mathematical programming with equilibrium constraints, in which 1) the upper level decisions on retail tariffs and optimal bidding in electricity markets are subject to 2) the lower level client-side optimization of PEV charging schedules. These decisions may respect a potential discomfort that could arise when PEV users have to deviate from their preferred charging schedule. Set in an existing, real medium voltage distribution network with urban characteristics and spatial PEV mobility, network UoS tariffs for capacity have been applied to both DLC and ILC scheduling by a PEV aggregator.es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenes_ES
dc.subject33 Ciencias tecnológicases_ES
dc.subject3317 Tecnología de vehículos de motores_ES
dc.subject331702 Automóvileses_ES
dc.subject3306 Ingeniería y tecnología eléctricaes_ES
dc.subject330603 Motores eléctricoses_ES
dc.titleBenefits of coordinating plug-In electric vehicles in electric power systems : through market prices and use-of-system network chargeses_ES
dc.typeinfo:eu-repo/semantics/doctoralThesises_ES
dc.rights.accessRightsinfo:eu-repo/semantics/closedAccesses_ES
dc.keywordsElectric vehicles, Power systems, Optimizationes_ES


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