A two-stage stochastic integer programming model for a thermal power system expansion

Víctor M. Albornoz, Pablo Benario, Manuel E. Rojas

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

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. © 2004 Wiley Periodicals, Inc.
Original languageEnglish
Pages (from-to)243-257
Number of pages15
JournalInternational Transactions in Operational Research
DOIs
Publication statusPublished - 1 Jan 2004

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