|Title:||A MOPSO method for direct load control in smart grid||Authors:||Evora, Jose
Hernández Cabrera, José Juan
|UNESCO Clasification:||120304 Inteligencia artificial||Keywords:||Agent based model
Demand Side Management
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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