Sensing Cloud Optimization to Solve ED of Units with Valve-Point Effects and Multi-fuels

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2013

Autores

Fonte, P (Autor) Outra; Cláudio Monteiro (Autor) FEUP; Fernando Maciel Barbosa (Autor) FEUP

Ata de Conferência Internacional

Título: TECHNOLOGICAL INNOVATION FOR THE INTERNET OF THINGS

Páginas: 477-484

4th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2013

Costa de Caparica, PORTUGAL, APR 15-17, 2013

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-006-FXT

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8