Methodology to design an optimal decision making system for the operator of a shared electric vehicle fleet providing electrical ancillary services

dc.contributorGomez-Ramirez, Danny Arlen de Jesus
dc.contributorHernández-Riveros, Jesús-Antonio
dc.creatorRuiz, Semaria
dc.date.accessioned2022-02-14T13:59:04Z
dc.date.available2022-02-14T13:59:04Z
dc.date.created2022-02-14T13:59:04Z
dc.date.issued2021-11
dc.identifierhttps://repositorio.unal.edu.co/handle/unal/80966
dc.identifierUniversidad Nacional de Colombia
dc.identifierRepositorio Institucional Universidad Nacional de Colombia
dc.identifierhttps://repositorio.unal.edu.co/
dc.description.abstractIn the recent years, the use of electric vehicles for public transport and carsharing services has spread widely in response to the needs of reducing global polluting gases emissions and decreasing vehicle ownership. However, the implementation of the electric carsharing practice still have some changes that need to be overcome, such as limitations in regulations and the low-profit margins that can be achieved by the aggregator agent that operate the fleet. Wherefore this thesis proposes to address the challenge of low profitability margins for the aggregator, giving to the electric vehicles the feature of providing power to the electrical network. It contains the developing process of a a decision making tool for the optimal operation of a fleet of electric vehicles that are used to provide carsharing services by an aggregator agent. In this case the aggregator agent also has the possibility of providing ancillary services to the power network, taking into account the degradation of the batteries and the risk in the incomes due to the variation of carsharing demand and the energy expenditure during travels. The thesis have as main contributions proposal of an aggregated energy model for an agent that operates the electric carsharing fleet, which allows the integration of transport and electrical network related variables, and the inclusion of transport variables uncertainties; and, the design of a risk-aware hierarchical decision-making system based on this model and its application to a study case in the Aburrá Valley; which allows the inclusion of different system models at each level, provides a solution computed in less than 7 seconds, and has the stability conditions necessary for future proposals of stochastic control schemes.
dc.description.abstractEl uso de vehículos eléctricos para el transporte público y los servicios de automóviles compartidos se ha extendido ampliamente en los últimos años, en respuesta a las necesidades de reducir las emisiones globales de gases contaminantes y disminuir la cantidad de vehículos particulares. Sin embargo, la implementación de la práctica de vehículos compartidos aún tiene algunos retos que deben superarse, como las limitaciones en las regulaciones y los bajos márgenes de ganancia que pueden lograr los agentes logísticos de la flota. En esta tesis se propone abordar el desafío de los bajos márgenes de rentabilidad para el caso de un único agente logístico en la flota, dando a los vehículos eléctricos la posibilidad de proporcionar energía a la red eléctrica; a través del desarrollo de una herramienta de toma de decisiones para la operación óptima de una flota de vehículos eléctricos que se utilizan de manera compartida, administrados por un único operador o agente logístico (agregador). Dicho agente cuenta adicionalmente con la posibilidad de proveer servicios auxiliares a la red eléctrica, teniendo en cuenta el envejecimiento de las baterías y el riesgo en las ganancias debido a la variación de la demanda del servicio de vehículo compartido y a la energía consumida en los viajes. La tesis tiene como principales aportes la propuesta de un modelo energético agregado para el operador la flota de vehículos eléctricos compartidos, que permite la integración de las variables relacionadas con el transporte, las relacionadas con la red eléctrica, y la inclusión de incertidumbres en las variables de transporte; y, el diseño de un sistema de toma de decisiones jerárquico consciente del riesgo basado en este modelo y su aplicación a un caso de estudio en el Valle de Aburrá; el cual permite la inclusión de diferentes modelos para el sistema en cada nivel de control, brinda una solución calculada en menos de 7 segundos y cuenta con las condiciones de estabilidad necesarias para futuras propuestas de esquemas de control estocástico. (Texto tomado de la fuente)
dc.languageeng
dc.publisherUniversidad Nacional de Colombia
dc.publisherMedellín - Minas - Doctorado en Ingeniería - Sistemas Energéticos
dc.publisherDepartamento de Procesos y Energía
dc.publisherFacultad de Minas
dc.publisherMedellín, Colombia
dc.publisherUniversidad Nacional de Colombia - Sede Medellín
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dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleMethodology to design an optimal decision making system for the operator of a shared electric vehicle fleet providing electrical ancillary services
dc.typeTrabajo de grado - Doctorado


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