Comparação de abordagens MOPSO no planejamento da operação de sistemas hidrotérmicos
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Data
2014-02-26
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Universidade Federal de Goiás
Resumo
The operation planning of hydrothermal systems is a complex, dynamic, stochastic,
nonlinear and interconnected problem. In this study, we consider that this problem must
tackle two objectives simultaneously: minimize thermoelectric generation (by maximizing
the use of hydroelectric plants) and maximize water reservoirs’ level of hydroelectric
plants. This dissertation presents the application of some multiobjective meta-heuristics,
using a set of eight actual plants from Brazilian interconnected system in three periods of
medium-term planning. The algorithms used were of two types: those based on particle
swarms (MOPSO , MOPSO-TVAC , SMPSO, MOPSO-CDR and MOPSO-DFR) and
evolutionary algorithms (SPEA2 and MOEAD/DRA). The results from previous studies,
made with single objective techniques, were inserted in the initial population of the
algorithms and compared with those simulations with normal initialization. We observed
that MOPSO-CDR outperformed the other algorithms in the test scenarios while, in some
cases, MOPSO has also generated competitive results.
Descrição
Palavras-chave
Sistemas hidrotérmicos de geração , Planejamento da operação , Ootimização por enxame de partículas , Inteligência de enxames , Algoritmos evolucionários , Pesquisa operacional , Hydrothermal systems , Operation planning , Particle swarm optimization , Swarm intelligence , Evolutionary algorithm , Operational research
Citação
SILVA, Jonathan Cardoso. Comparação de abordagens MOPSO no planejamento da operação de sistemas hidrotérmicos. 2014. 116 f. Dissertação (Mestrado em Engenharia Elétrica e da Computação) - Universidade Federal de Goiás, Goiânia, 2014.