Abstract do Artigo

The long-term hydrothermal scheduling is one of the most important problems that must be solved in power systems area. This problem aims to obtain an optimal policy, under water resources uncertainty, for the hydro and thermal plants over a multi-annual planning horizon. The purpose of this paper is twofold. Firstly, we present a computational model which is in development for solving the long-term hydrothermal scheduling of the Brazilian hydrothermal power system. Secondly, it is described some modeling issues which may cause problems to achieve an optimal policy and are currently included in the official long-term optimization model of the Brazilian regulatory framework. This paper presents some solutions, for those problems, that were implemented on our model. We evaluate the solutions related to the original modeling and the modified one, in order to show evidences of the problems and that the solutions proposed are a good start point. To accomplish this evaluation, we consider in the model the whole Brazilian power system, with a reduced planning horizon.


Detalhes do Artigo

  • Data: Dezembro de 2012
  • Revista: International Journal of Electrical Power & Energy Systems
  • Volume / Edição: 43 / 1
  • Páginas: 1443-1452
  • Palavras-chave: long-term, hydrothermal, scheduling, multi-stage, stochastic, linear, programming, energy, equivalent, reservoir, periodic, autoregressive, model, stochastic, dual, dynamic, programming
  • Artigo completo: http://www.sciencedirect.com/science/article/pii/S0142061512002839

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