RT info:eu-repo/semantics/article
T1 A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants
A1 Hernández Callejo, Luis
A1 Baladrón García, Carlos
A1 Aguiar Pérez, Javier Manuel
A1 Carro Martínez, Belén
A1 Sánchez Esguevillas, Antonio Javier
A1 Lloret, Jaime
A1 Chinarro, David
A1 Gómez Sanz, Jorge
A1 Cook, Diane J.
K1 Distributed intelligence
K1 Multi-agent system
K1 Smart grid
K1 Virtual power plant
K1 3306 Ingeniería y Tecnología Eléctricas
AB 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.
PB IEEE
SN 0163-6804
YR 2013
FD 2013
LK https://uvadoc.uva.es/handle/10324/70358
UL https://uvadoc.uva.es/handle/10324/70358
LA eng
NO IEEE Communications Magazine, January 2013, vol. 51, n.1, p. 106-113.
NO Producción Científica
DS UVaDOC
RD 28-dic-2024