A MOPSO method for direct load control in smart grid

Título:	A MOPSO method for direct load control in smart grid
Autores/as:	Évora Gómez, José Hernández Cabrera, José Juan Hernandez, Mario
Clasificación UNESCO:	120304 Inteligencia artificial
Palabras clave:	Agent based model Demand Side Management Complex system Smart Grid Optimisation, 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:	Expert Systems with Applications
Resumen:	In recent years, power grids have been evolving to decentralised production and control. Direct Load Control (DLC) methods are oriented to manage loads on the demand side. A DLC method based on Multi-Objective Particle Swarm Optimisation (MOPSO) algorithm is described. This method sets up the operation of the appliances when a power restriction must be accomplished. Since the method must operate in real-time, the calculations are distributed. The operation of appliances is obtained by dividing the power restriction among neighbourhoods and calculating multiple local optimisations. The method has been experimentally evaluated through simulations
URI:	http://hdl.handle.net/10553/52071
ISSN:	0957-4174
DOI:	10.1016/j.eswa.2015.05.056
Fuente:	Expert Systems with Applications [ISSN 0957-4174], v. 42 (21), p. 7456-7465
Colección:	Artículos

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