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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/70358

    Título
    A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants
    Autor
    Hernández Callejo, LuisAutoridad UVA Orcid
    Baladrón García, CarlosAutoridad UVA
    Aguiar Pérez, Javier ManuelAutoridad UVA Orcid
    Carro Martínez, BelénAutoridad UVA Orcid
    Sánchez Esguevillas, Antonio JavierAutoridad UVA Orcid
    Lloret, Jaime
    Chinarro, David
    Gómez Sanz, Jorge
    Cook, Diane J.
    Año del Documento
    2013
    Editorial
    IEEE
    Descripción
    Producción Científica
    Documento Fuente
    IEEE Communications Magazine, January 2013, vol. 51, n.1, p. 106-113.
    Resumo
    Recent technological advances in the power generation and information technologies areas are helping to change the modern electricity supply system in order to comply with higher energy efficiency and sustainability standards. Smart grids are an emerging trend that introduce intelligence in the power grid to optimize resource usage. In order for this intelligence to be effective, it is necessary to retrieve enough information about the grid operation together with other context data such as environmental variables, and intelligently modify the behavior of the network elements accordingly. This article presents a multi-agent system model for virtual power plants, a new power plant concept in which generation no longer occurs in big installations, but is the result of the cooperation of smaller and more intelligent elements. The proposed model is not only focused on the management of the different elements, but includes a set of agents embedded with artificial neural networks for collaborative forecasting of disaggregated energy demand of domestic end users, the results of which are also shown in this article.
    Materias Unesco
    3306 Ingeniería y Tecnología Eléctricas
    Palabras Clave
    Distributed intelligence
    Multi-agent system
    Smart grid
    Virtual power plant
    ISSN
    0163-6804
    Revisión por pares
    SI
    DOI
    10.1109/MCOM.2013.6400446
    Patrocinador
    Spanish Ministry for Economy and Competitiveness, with grant TIN2011-28335-C02-01
    Programa de Creación y Consolidación de Grupos de Investigación UCM-Banco Santander for the group number 921354 (GRASIA group)
    Version del Editor
    https://ieeexplore.ieee.org/document/6400446
    Propietario de los Derechos
    © Institute of Electrical and Electronics Engineers (IEEE)
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/70358
    Tipo de versión
    info:eu-repo/semantics/acceptedVersion
    Derechos
    openAccess
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    Universidad de Valladolid

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