Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/113766
Título: Agent-based modelling for designing an EV charging distribution system: a case study in Salvador of Bahia
Autores/as: Évora Gómez, José 
Hernández Cabrera, José Juan 
Barbosa, Daniel
Nazareno Baria, Paulo
Clasificación UNESCO: 120326 Simulación
120304 Inteligencia artificial
Palabras clave: Agent-based modelling
Power grid
Simulation
Electrical vehicles
Demand side management, et al.
Fecha de publicación: 2014
Editor/a: EUROSIS
Proyectos: Framework Para la Simulación de la Gestión de Mercado y Técnica de Redes Eléctricas Insulares Basado en Agentes Inteligentes. Caso de la Red Eléctrica de Gran Canaria. 
Conferencia: 28th European Simulation and Modelling Conference (ESM 2014) 
Resumen: The need to reduce the dependence on fossil fuels has promoted the introduction of new paradigms to improve overall power grid efficiency. Because of this, electrical vehicles are becoming more popular. Not withstanding,their introduction means new challenges which must be addressed in order that future power grids can support their recharge. To this end, new power grid control mechanisms are being developed to avoid huge expen-ditures in extending the supply capacity of power grids.Amongst these, one of the most popular is known as“Demand Side Management”. The challenge of studying prospective scenarios in which electrical vehicle chargingis controlled by a Demand Side Management policy is addressed in this paper. This paper proposes an agent-based modelling approach to deal with this kind of study and presents two experiments in which its advantages are highlighted.
URI: http://hdl.handle.net/10553/113766
ISBN: 978-907738186-1
Fuente: Modelling and Simulation 2014 - European Simulation and Modelling Conference, (ESM 2014), p 353 - 357
Colección:Actas de congresos
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