Please use this identifier to cite or link to this item:
Title: Swarm intelligence for frequency management in smart grids
Authors: Evora, Jose
Hernández Cabrera, José Juan 
Hernandez, Mario 
Dzemyda, Gintautas
Kurasova, Olga
Kremers, Enrique
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Swarm intelligence
Multi-agent system
Behaviour function
Energy system
Demand side management, 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: Informatica 
Abstract: 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.
ISSN: 0868-4952
DOI: 10.15388/Informatica.2015.56
Source: Informatica (Netherlands) [ISSN 0868-4952], v. 26 (3), p. 419-434
Appears in Collections:Artículos
Adobe PDF (401,3 kB)
Show full item record

Google ScholarTM




Export metadata

Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.