Otimização operacional de microturbinas a gás para aplicações de geração distribuída

Abstract

This paper proposes a research strategy of dynamic behavior of gas microturbines (MGT) through mathematical modeling. By analyzing MGT’s dynamic behavior, a closed mesh power regulator is inserted in order to increase the ability to respond to usage demand in distributed cogeneration and distributed generation (DG) systems. Additionally, an optimization algorithm is proposed to identify the regulator’s tuning parameters aiming at mechanical power adjustment. The method adopted is a bioinspired meta-heuristic technique called Artificial Immune Systems (AIS). The main objective is to design an appropriate system aimed at the operational optimization of MGT for power generation, with a connection to the electricity grid. To optimize controller parameters, a simplified model is used to increase computational efficiency in optimizing its parameters. After optimization, the effectiveness of the operation of the optimized controller is validated using a complete MGT model. In general, this proposal involves the MGT analysis Capstone C30 model, the sizing of the electronic power system and the design of each of the controllers belonging to the system for on grid connection, as well as the application of the AIS algorithm to adjust controller parameters. Development is validated through simulation, using Simulink software- MATLAB® , whose obtained results indicate that the proposed control strategy is capable of achieving the objectives as expected. Finally, the results show that the simplified model used in the optimization via SIA responds satisfactorily in the controller’s tuning when comparing to the complete model.