Uma abordagem baseada em sistemas de inferência Fuzzy Takagi-Sugeno aplicada ao planejamento da operação de sistemas hidrotérmicos de geração

The operation planning of generation hydrothermal systems, in systems with wide hydraulic participation, such as the Brazilian system, aims to determine an energy operating policy that specifies how the hydroelectric power plants must be operated so that the hydroelectric resources available are used with economy and reliability. This paper presents an application of Takagi-Sugeno fuzzy inference systems to determine an energy operation policy (Fuzzy Inference System-Based Policy - FISBP) that represents the optimal operation of reservoir for electric generation, and also an analysis of the policy obtained and its application at operational simulation of hydrolectric systems. The policy is obtained through the energy operation optimization of hydroelectric plants. From this optimization it extracts the relationships between the stored energy of the system and the reservoir volume of each plant. These relationships are represented in the parameters of the consequents of the fuzzy rules of the Takagi-Sugeno inference model in order to reflect the optimal operating behavior of the hydroelectric power plants. To illustrate the effectiveness of FISBP, it was evaluated through comparations with papallel policy; with operation policy based at functional aproximations that uses polynomials and exponential functions; and with the result obtained using the optimal operation of individualistic hydro plants. Through methodology proposed, it is intended to demonstrate the viability of the obtainment and the application of FISBP, and with results obtained, it is also intended to show the effectiveness and energetic gains reached.

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