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| Author(s): |
Patrícia Teixeira Leite
Total Authors: 1
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| Document type: | Doctoral Thesis |
| Press: | São Carlos. |
| Institution: | Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC/SBD) |
| Defense date: | 2003-12-19 |
| Examining board members: |
Adriano Alber de França Mendes Carneiro;
Marinho Gomes de Andrade Filho;
André Carlos Ponce de Leon Ferreira de Carvalho;
Rubén Augusto Romero Lázaro;
Leonardo Nepomuceno
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| Advisor: | Adriano Alber de França Mendes Carneiro; André Carlos Ponce de Leon Ferreira de Carvalho |
| Abstract | |
The present thesis investigates a new model based on artificial inteligence as a tool to solve the problem of the operational planning of hydrothermal systems. This approach, which uses the principle of genetic evolution, has been very successful and efficient in the solution of optimization problems. To represent all the characteristics of the problem some adaptations of the traditional genetic operators of recombination and mutation were made. The problem used a string of real numbers instead of binary as usually presented in the literature. Thus, several tests were performed in order to adapt the technique to the problem, taking into account its specific characteristics. The proposed algorithm has been applied in several tests in real hydrothermal systems, with plants belonging to the brazilian southeast system. The results achieved so far have indicated that the proposed approach can be an effective alternative or a complementary technique for the planning of hidrothermal system, as it determines an operation strategy for each power plant and minimizes the expected value of the operative cost along the planning horizon. The applications include large systems, with up to 35 hydroelectric plants, where good results were obtained. (AU) | |