Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/46777
Título: Challenges of using smart local devices for the management of the smart grid
Autores/as: Lopez-Rodriguez, Ignacio
Hernández Tejera, Mario 
Clasificación UNESCO: 120304 Inteligencia artificial
Palabras clave: Smart grids
Reliability
Intelligent agents
Energy management
Production, et al.
Fecha de publicación: 2011
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: IEEE International Conference on Smart Grid Communications (SmartGridComm) 
2011 IEEE 2nd International Conference on Smart Grid Communications, SmartGridComm 2011 
Resumen: The Smart Grid is an important milestone for the development of modern societies, which have increased their energy demand and largely depends on a reliable power supply. The management of the Smart Grid requires the installation of distributed and reactive control systems that are able to represent the interests of users, manage the demand on real time and operate the renewable energy sources safely and efficiently. To this end, one of the most accepted models is based on smart local devices that bargain the activity of the production and consumption units on behalf of users. However, the adoption of this technology poses important challenges that have not been considered in depth so far, and that will affect the efficiency, flexibility and reliability of the grid. This paper analyzes these challenges and puts forward the basis of a new model that aims to solve them.
URI: http://hdl.handle.net/10553/46777
ISBN: 978-1-4577-1702-4
DOI: 10.1109/SmartGridComm.2011.6102395
Fuente: 2011 IEEE International Conference on Smart Grid Communications, SmartGridComm 2011 (6102395), p. 73-77
Colección:Actas de congresos
Vista completa

Citas SCOPUSTM   

2
actualizado el 17-nov-2024

Visitas

123
actualizado el 28-sep-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.