This paper investigates the application of Genetic Algorithms in the Optimization of the Operation Planning of Hydrothermal Power Systems. The aim of this work to analyze the application of this technique in a complex problem of high dimension, composed by several plants, belonging to different cascades. The authors believe that, due to their simplicity, parallelism and generality, the Genetic Algorithms present a great potential for the resolution of the pointed problem. The tests were applied in two groups with plants belonging to the Brazilian Southeast System. The first considers only reservoir hydroelectric, in the total of 19 plants, and the second uses reservoir hydroelectric the and run-of-river capacity hydroelectric plants, composed by 35 plants.
Hydrothermal Power Systems; Operation Planning; Optimization; Genetic Algorithms
