Gerson C. Oliveira

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This work presents a new methodology for the allocation of transmission service cost among network users in energy markets. The proposed method is based on an optimization/game-theoretic framework (Aumann-Shapley) that retains the desirable properties of other existing methodologies such as the Average Participations Factors (APF) and Long Run Marginal(More)
The classical non-linear mixed integer formulation of the transmission network expansion problem cannot guarantee finding the optimal solution due to its non-convex nature. We propose an alternative mixed integer linear disjunctive formulation, which has better conditioning properties than the standard disjunctive model. The mixed integer program is solved(More)
We extend a static mixed integer disjunctive (MID) transmission expansion planning model so as to deal with circuit contingency criterion. The model simultaneously represents the network constraints for base case and each selected circuit contingency. The MID approach allows a commercial optimization solver to achieve and prove solution optimality. The(More)
There are several reasons to explain why transmission system loading is less than 100%. These reasons include: (i) reliability, (ii) uncertainties associated with the demand growth forecast and (iii) different dispatch scenarios due to Renewable Energy Sources (RES), i.e., hydroelectricity, modern biomass, wind and solar power. The combination of these(More)
Schistosoma mansoni is 1 of the causative agents of schistosomiasis, an endemic disease in 76 countries of the world. The study of its genome, estimated to be 270 Mb, is very important to understanding schistosome biology, the mechanisms of drug resistance, and immune evasion. Repetitive elements constitute more than 40% of the S. mansoni genome and may(More)
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