Técnicas de Otimização Baseadas em Inteligência Artificial Aplicadas ao Planejamento da Operação Energética de Sistemas Hidrotérmicos de Potência (Techniques of the Optimization Based in Artificial Intelligence Applied to Hydrothermal Power Systems Operation Planning)

Fábio Antunes (fabioantunes@cefetsp.br)3, Thiago Ribeiro de Alencar (thiago.alencar@ufabc.edu.br)1, Patricia Teixeira Leite (patricia.tleite@gmail.com)1, Karla Vitorri (karla.vitorri@ufabc.edu.br)1, Ricardo de Andrade Lira Rabêlo (ricardor_usp@yahoo.com.br)2, Dennis Lozano Toufen (dennistoufen@yahoo.com.br)3


1Universidade Federal do ABC
2Universidade Estadual do Piauí
3Instituto Federal de Educação, Ciência e Tecnologia de São Paulo

This paper appears in: Revista IEEE América Latina

Publication Date: Dec. 2014
Volume: 12,   Issue: 8 
ISSN: 1548-0992


Abstract:
The Hydrothermal Power Systems Operation Planning (HPSOP) aims to determine a strategy for each generation plant at each time interval in order to minimize the expected value of operating costs in the planning horizon. This is a challenge for managers of the Energy Sector, because of the stochastic nature of the problem which is coupled in time (dynamic) and in space (interconnected), large, not separable, non-convex and the target function is non-linear. Therefore, the application of classical techniques presents several limitations. In order to overcome those limitations, improvement of traditional methods, or the development of alternative heuristics is a vital step in the operation of HPSOP. This paper presents an application of two of this new heuristics of Artificial Intelligence: Genetic Algorithms and Ant Colony Optimization. Those techniques were applied to a test system with data from Brazilian power plants. The results showed a good performance when compared with traditional optimization techniques already used in HPSOP. It is noteworthy that in the current study, the applications of traditional optimization techniques and Artificial Intelligence have made use of real characteristics of plant operation without the need to simplify the original formulation.

Index Terms:
Optimization, Planning, Hydrothermal Power Systems, Artificial Intelligence   


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