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International Journal of Fuzzy Logic Systems (IJFLS) Vol.2, No.3, July 2012 time of fuzzy logic controller is less then PI controller. With respect to fuel flow, the variation of turbine speed and power are shown in Figures 6 and 7. 1.4 0.8 1.2 0.6 Fuzzy logic controler PI contrller 0.4 1 0.8 0.6 0.4 0.2 0.2 19 20 21 22 23 24 25 26 1 0.8 0.6 0.4 60 61 62 63 64 65 66 0 0 10 20 30 40 50 60 70 80 1.2 1 0.8 0.6 0.4 0.2 0 -0.2 Figure.6 Fuel demand 0.6 0.4 0.2 0 Fuzzy logic controller PI controller Time (s) -0.40 10 20 30 40 50 60 70 80 Time (s) Figure.7 Turbine torque 0.985 0.98 0.975 0.97 0.965 62 63 64 65 0.95 0 10 20 30 40 50 60 70 80 1 0.8 0.6 0.4 0.2 0 -0.2 -0.4 0.9 0.8 0.7 0.6 0.5 0.4 21 22 23 24 62 64 66 1.01 1 0.99 0.98 0.97 0.98 0.96 0.97 0.96 Fuzzy controller PI controller 40 41 42 43 44 45 Time (s) Figure 8. Turbine speed 0.6 0.4 0.2 0 0.9 0.8 0.7 0.6 0.5 0.4 Turbine power (p.u) Turbine speed(p.u.) Turbine torque (p.u) Fuel demand (p.u) 0 10 20 30 40 50 60 70 80 3.1 GRID CONNECTED MODE 18 20 22 24 26 61 62 63 64 65 66 67 Fuzzy logic controller PI controller Time (s) Figure 9. Turbine power The MTG system in connected to the grid is supplying a power to the grid is predicted on the basis of active and reactive power. The active and reactive power supplied by the fuzzy logic controlled MTG system is shown in Figure.10. From the reported Figure.10 it is observed that, the active power is 50kW and reactive power is almost zero. Hence it is ascertained that the PMSM supplies only active power. The DC link voltage and turbine torque are shown in Figures 11 and 12 respectively. From the reported Figure12 it is observed that the turbine torque is 47PDF Image | PERFORMANCE OF FUZZY LOGIC BASED MICROTURBINE GENERATION SYSTEM CONNECTED TO GRID/ISLANDED MODE
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