Estudo de Técnicas de Otimização de Sistemas Hidrotérmicos por Enxame de Partículas
Carregando...
Data
2012-06-21
Autores
Título da Revista
ISSN da Revista
Título de Volume
Editor
Universidade Federal de Goiás
Resumo
Particle Swarm Optimization has been widely used to solve real-world problems, including
the operation planning of hydrothermal generation systems, where the main goal
is to achieve rational strategies of operation. This can be accomplished by minimizing
the high-cost thermoelectric generation, while maximizing the low-cost hydroelectric generation.
The optimization process must consider a set of complex constrains. This work
presents the application of some recently proposed Particle Swarm Optimizers for a group
of hydroelectric power plants of the Brazilian interconnected system, using real data from
existing plants. There were performed some tests by using the standard PSO, PSO-TVAC,
Clan PSO, Clan PSO with migration, Center PSO, and one approach proposed in this
work, called Center Clan PSO, over three different mid-term periods. All PSO approaches
were compared to the results achieved by a Non-linear Programming algorithm
(NLP). Furthermore, another approach was proposed, based on Center PSO, named Extended
Center PSO. It was observed that the PSO approaches presented as promising
solutions to the problem, even better than NLP in some cases.
Descrição
Palavras-chave
Citação
GOMIDES, Lauro Ramon. Study of Optimization Techniques for Hydrothermal Systems by Particle Swarm. 2012. 95 f. Dissertação (Mestrado em Engenharia) - Universidade Federal de Goiás, Goiânia, 2012.