The optimization of fuzzy PSS?s rule table using genetic algorithm

Power systems are generally complex and non-linear systems. So, because of negative working conditions, low frequency electromecanic oscillations often come into existence.In this thesis, it is focused on damping the low frequency electromechanic oscillations by using the stability of the generator rotor angle and increasing dynamic performance of generator excitation systems. Therefore it was examined five pieces of rules table which were devoloped for fuzzy logic power system stabilizers (FPSS) used in literature before, and FPSS?s rule table optimization was done by using genetic algorithm. Matlab program was used for simulation studies. To test the effectiveness of the controller, the simulation results of FPSS whose rule table was optimized using genetic algorithm were compared with the simulation results of FPSS which use the five pieces of rule tables.It is shown comparatively the output voltage, power angel, electrical output moment and changes of angular speed parameters due to time that were gained with simulation studies. Due to the results gained it is seen that the performance of GPSS (Genetic Power System Stabilizer) is better then FPSS.