Otimização dos parâmetros de controle para operação de microturbinas a gás

Walquíria do N. Silva; Bruno Henriques Dias; Leonardo W. de Oliveira; Janaína G. Oliveira

doi:10.20906/sbai.v1i1.2660

Walquíria do N. Silva Departamento de Energia Elétrica, Universidade Federal de Juiz de Fora (UFJF), Juiz de Fora, Minas Gerais
Bruno Henriques Dias Departamento de Energia Elétrica, Universidade Federal de Juiz de Fora (UFJF), Juiz de Fora, Minas Gerais
Leonardo W. de Oliveira Departamento de Energia Elétrica, Universidade Federal de Juiz de Fora (UFJF), Juiz de Fora, Minas Gerais
Janaína G. Oliveira Departamento de Energia Elétrica, Universidade Federal de Juiz de Fora (UFJF), Juiz de Fora, Minas Gerais

DOI: https://doi.org/10.20906/sbai.v1i1.2660

Keywords: Controle, Geração Distribuída, Microturbina a Gás, Otimização, Sistema Imunológico Artificial

Abstract

This paper presents a methodology for adjusting the parameters of the mechanical power controller of the gas microturbine (MTG), considering the dynamic behaviour and efficiency in energy generation of the turbine. The closed-loop controller is modelled for the MTG mechanical power system to increase the capacity to meet the load demand. For this, an optimization algorithm was proposed to identify the tuning parameters of the regulator, which will optimally adjust the mechanical power of the MTG, through the use of the Artificial Immune Systems (AIS). A simplified simulation model was proposed to optimize the controller parameters in a reasonable time. The effectiveness of the simplified model is validated through the comparison with the complete MTG model. The main objective was to design an adequate system aiming at the operational optimization of the MTG for power generation, with connection to the electric grid for use in cogeneration and distributed generation (DG) systems. The proposed study uses the Simulink MATLAB® software. The results obtained shows that the proposed control strategy was able to achieve the expected outcomes for the MTG control tunning. Also, the results demonstrate that the simplified model used in the optimization via AIS performs adequately to the adjustment of the controller when comparing the simplified and the complete models.