Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/3821
Título: Sensing Cloud Optimization applied to a non-convex constrained economical dispatch
Autor: Fonte, Pedro Miguel
Monteiro, Cláudio
Barbosa, Fernando Pires Maciel
Palavras-chave: Cloud of particles
Optimization
Economic Dispatch
Optimization
Non-convex cost functions
Data: Nov-2013
Editora: IEEE
Citação: FONTE, P. M.; MONTEIRO, Cláudio; BARBOSA, F. P. Maciel - Sensing Cloud Optimization applied to a non-convex constrained economical dispatch. 39th Annual Conference of the IEEE Industrial-Electronics-Society (IECON). (2013), p. 2163-2168.
Relatório da Série N.º: IEEE Industrial Electronics Society;
Resumo: In this paper it is intended to solve an Economical Dispatch (ED) problem with a new tool, named Sensing Cloud Optimization (SCO). It is a technique based on clouds of particles which allow a dynamic change in search space. It has appropriate heuristic characteristic to solve not convex, not differentiable and highly constrained optimisation problems. It is provided with a statistical analysis which determines the cloud's dimension with dynamic adjustments in search space in order to accelerate the convergence and to avoid to get trapped in local minima. Two case studies are presented in which SCO demonstrated good performances reaching lower cost values where compared with other techniques.
Descrição: Conferência: 39th Annual Conference of the IEEE Industrial-Electronics-Society (IECON) - NOV 10-14, 2013
Peer review: yes
URI: http://hdl.handle.net/10400.21/3821
ISBN: 978-1-4799-0224-8
ISSN: 1553-572X
Versão do Editor: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6699466
Aparece nas colecções:ISEL - Eng. Electrotécn. - Comunicações



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