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.
|Number of pages||15|
|Journal||International Transactions in Operational Research|
|Publication status||Published - 1 Jan 2004|
Albornoz, V. M., Benario, P., & Rojas, M. E. (2004). A two-stage stochastic integer programming model for a thermal power system expansion. International Transactions in Operational Research, 243-257. https://doi.org/10.1111/j.1475-3995.2004.00456.x