Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/2764
Título: Sensing Cloud Optimization to Solve ED of Units with Valve-Point Effects and Multi-fuels
Autor: Fonte, Pedro Miguel
Monteiro, Cláudio
Barbosa, Fernando Pires Maciel
Palavras-chave: Economic dispatch
Optimization
Heuristics
Cloud of particles
Particle swarm optimization
Economic-dispatch
Data: 2013
Editora: Springer-Verlag Berlin
Citação: FONTE, Pedro; MONTEIRO, Cláudio; BARBOSA, Fernando Maciel - Sensing Cloud Optimization to Solve ED of Units with Valve-Point Effects and Multi-fuels. Technological Innovation for the Internet of Things. ISSN 1868-4238. ISBN 978-642-37290-2. Vol. 394 (2013), p. 477-484.
Relatório da Série N.º: IFIP Advances in Information and Communication Technology;
Resumo: In this paper a solution to an highly constrained and non-convex economical dispatch (ED) problem with a meta-heuristic technique named Sensing Cloud Optimization (SCO) is presented. The proposed meta-heuristic is based on a cloud of particles whose central point represents the objective function value and the remaining particles act as sensors "to fill" the search space and "guide" the central particle so it moves into the best direction. To demonstrate its performance, a case study with multi-fuel units and valve- point effects is presented.
Peer review: yes
URI: http://hdl.handle.net/10400.21/2764
ISBN: 978-3-642-37290-2
ISSN: 1868-4238
Aparece nas colecções:ISEL - Eng. Electrotécn. - Comunicações

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
Sensing Cloud Optimization to Solve ED of Units with Valve-Point Effects and Multi-fuels.rep.pdf196,53 kBAdobe PDFVer/Abrir


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.