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

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

European Journal of Operational Research, 2013, vol. 229, issue 1, 212-222

Abstract: 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.

Keywords: Hydrothermal power system; Long term operation planning; Stochastic programming; Dynamic programming; Parallel programming; Convex Hull (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:229:y:2013:i:1:p:212-222

DOI: 10.1016/j.ejor.2013.02.024

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