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

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.