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A two‐stage stochastic integer programming model for a thermal power system expansion
Author(s) -
Albornoz Víctor M.,
Benario Pablo,
Rojas Manuel E.
Publication year - 2004
Publication title -
international transactions in operational research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.032
H-Index - 52
eISSN - 1475-3995
pISSN - 0969-6016
DOI - 10.1111/j.1475-3995.2004.00456.x
Subject(s) - solver , mathematical optimization , integer programming , stochastic programming , computer science , stage (stratigraphy) , integer (computer science) , software , work (physics) , power (physics) , mathematics , engineering , mechanical engineering , paleontology , physics , quantum mechanics , biology , programming language
In this paper the obtaining of an optimum policy in the capacity expansion planning of a particular thermal‐electric power system is proposed. Therefore, a two‐stage stochastic integer programming is formulated. The model includes, through a finite group of scenarios, the existent uncertainty related to the future availability of the thermal plants currently under operation. The resultant model is solved numerically by the application of the L‐shaped method, whose implementation and development were executed using the software AMPL, with CPLEX as a solver. The results reached are shown, which validate the use of the methodology adopted in this work.