Genetic algorithms applied to hydrothermal system scheduling

This paper presents a new method to solve the optimal scheduling of hydrothermal power systems (HPSs). This is performed using an artificial intelligence technique, genetic algorithms (GAs). A few tests have been carried out on a subsystem of the Southeast Brazilian System. The complexity level of the simulations is gradually increased and the main aspects of the optimal system operation are highlighted. The results achieved with the new technique are compared with results from traditional nonlinear optimization techniques and the advantages of GAs are showed both in the optimization process and in the lower operative cost obtained