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Parallel computing applied to the stochastic dynamic programming for long term operation planning of hydrothermal power systems

2013; Elsevier BV; Volume: 229; Issue: 1 Linguagem: Inglês

10.1016/j.ejor.2013.02.024

1872-6860

Bruno Henriques Dias, Marcelo A. Tomim, André Luís Marques Marcato, Tales Pulinho Ramos, Rafael Bruno S. Brandi, Ivo Chaves da Silva, João Alberto Passos Filho,

Water Systems and Optimization

In this paper, parallel processing techniques are employed to improve the performance of the stochastic dynamic programming applied to the long term operation planning of electrical power system. The hydroelectric plants are grouped into energy equivalent reservoirs and the expected cost functions are modeled by a piecewise linear approximation, by means of the Convex Hull algorithm. In order to validate the proposed methodology, data from the Brazilian electrical power system is utilized.