Multi-machine fuzzy logic excitation and governor stabilizers design using genetic algorithms

In this paper, we have extended to the multimachine case our developed control model for SMIB stability improvement previously published. This model implements the fuzzy stabilizer in excitation and/or in turbine Governor systems (FLCE, FLCG and FLCEG). The optimal adjustment of the fuzzy logic controllers using genetic algorithm is carried out. Results obtained by nonlinear simulation using Matlab/Simulink of a multimachine system show the effectiveness of using both fuzzy controllers to exciter (FLCE) and to governor (FLCG) at the same time (FLCEG) for large and small disturbances.