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dc.creatorJoão Tomé Saraiva
dc.creatorFelipe Alves Calabria
dc.creatorAna Paula Rocha
dc.description.abstractIn order to overcome a number of difficulties detected on the Brazilian electricity market this paper proposes and tests a bid based short-term market. To simulate the behavior of the hydros in this new market, it was implemented an Agent-Based Model - ABM using the reinforcement QLearning algorithm, Simulated Annealing, and linear programming. In the simulations we used real data from the Brazilian power system encompassing more than 98% of the total hydro installed capacity and three years of market data. The results indicate that the management of (virtual) reservoirs can be under the responsibility of each hydro, which could save water according to their own risk perception, while it is maintained the current efficiency and security levels. Results also suggest that the final monthly short-term market prices can substantially decrease in comparison with the current prices.
dc.relation.ispartof13th International Conference on the European Energy Market
dc.subjectEngenharia electrotécnica, Engenharia electrotécnica, electrónica e informática
dc.subjectElectrical engineering, Electrical engineering, Electronic engineering, Information engineering
dc.titleA design and simulation of a Brazilian bid based short-term electricity market
dc.typeArtigo em Livro de Atas de Conferência Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.subject.fosCiências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
dc.subject.fosEngineering and technology::Electrical engineering, Electronic engineering, Information engineering
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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