Solução de problemas de otimização utilizando arquitetura híbrida. / Solution of optimization problems using hybrid architecture.

AUTOR(ES)
DATA DE PUBLICAÇÃO

2008

RESUMO

Electrical power could be considered as one of the economy propulsion vector of a country, assuming extremely important and strategic role because it makes direct influence to the production capacity. The expansion of electrical energy production could not only be done in a short time because constructions in this area take many years and could require more then a decade depending on the magnitude of them. The national power generation group is constituted mainly by hydro power plants complemented by thermal power plants which use several kinds of fuel which generation cost is high, if compared to hydro power generation, and should be minimized. It is a complex planning issue to supply the future power demand which basically depends on the analysis of two compoundable scenarios: the first one refers to the forecast of future economy growing and in this case, unless unpredicted issues occur such as the recent high economy growing experimented by China, the future demand does not show any surprise and is easy to predict; the second one, has inside the uncertainty because the hydro plants productions depends on the water quantity of rivers which depends on the past and current rainfall regimen. The quantity of rainfall is a stochastic data and follows the rules of probability and this drives to the study of cases and its deployments which are numerous causing difficulties to forecast the future. The planning of the electrical area has to examine the future demand and provide the necessary power generation equipment assuming a certain risk. To have it done, simulation models are used to predict the future, combining the two scenarios cited before, and viewing the results promoted by decision took in a step before. The difficult of this task is caused by the big amount of future alternatives provided by the combinatorial phenomena which require, to process the model, a computer with high processing capacity and specialized and specific methods that can resolve this king of problem. Because of the importance and magnitude of this issue, every effort which contributes to the improvement of power planning is welcome and this corroborates with this thesis which has an objective to propose technical, viable and economic solutions to solve the optimization problems with a new approach and has potential to be applied in many others kind of similar problems.

ASSUNTO(S)

optimization models power generation models modelos de geração de energia distributed systems hybrid architecture arquitetura híbrida modelos de otimização sistemas distribuídos

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