Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/52070
Título: Swarm intelligence for frequency management in smart grids
Autores/as: Evora, Jose
Hernández Cabrera, José Juan 
Hernandez, Mario 
Dzemyda, Gintautas
Kurasova, Olga
Kremers, Enrique
Clasificación UNESCO: 120304 Inteligencia artificial
Palabras clave: Swarm intelligence
Multi-agent system
Behaviour function
Energy system
Demand side management, et al.
Fecha de publicación: 2015
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. 
Publicación seriada: Informatica 
Resumen: A secure and high-quality operation of power grids requires frequency to be managed to keep it stable around a reference value. The deviation of the frequency from this reference value is caused by the imbalance between the active power produced and consumed. In the Smart Grid paradigm, the balance can be achieved by adjusting the demand to the production constraints, instead of the other way round. In this paper, an swarm intelligence-based approach for frequency management is proposed. It is grounded on the idea that a swarm is composed of decentralised individual agents (particles) and that each of them interacts with other ones via a shared environment. Three swarm intelligence-based policies ensure a decentralised frequency management in the smart power grid, where agents of swarm are making decisions and acting on the demand side. Policies differ in behaviour function of agents. Finally, these policies are evaluated and compared using indicators that point out their advantages.
URI: http://hdl.handle.net/10553/52070
ISSN: 0868-4952
DOI: 10.15388/Informatica.2015.56
Fuente: Informatica (Netherlands) [ISSN 0868-4952], v. 26 (3), p. 419-434
Colección:Artículos
miniatura
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