Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52071
Title: A MOPSO method for direct load control in smart grid
Authors: Evora, Jose
Hernández Cabrera, José Juan 
Hernandez, Mario 
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Agent based model
Demand Side Management
Complex system
Smart Grid
Optimisation, et al
Issue Date: 2015
Project: 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. 
Journal: Expert Systems with Applications 
Abstract: 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
Source: Expert Systems with Applications [ISSN 0957-4174], v. 42 (21), p. 7456-7465
Appears in Collections:Artículos
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