A. S. JABER ET AL.
Copyright © 2013 SciRes. EPE
462
Response Comparison For Scaled Table 6. Frequency
Fuzzy-PI Controller And Conventional PI Controller.
PI controller PSO fuzzy controller
L.Ch
Ps)
US St (PUS S.t (s)
1 0. 0 0818 21.2 .004514.23
2 0.0233 23.1 0.0081 14.97
3 0.0361 23.7 0.0132 15.12
4 0.0472 24.5 0.0178 15.43
5 0.0605 24.81 0.0227 15.91
able 7. Power transfer response Comparison of scaled
oller
T
fuzzy-PI controller and conventional PI controller.
PI controller PSO fuzzy contr
L.Ch
PUS*1 US
0^-3 St (s) P St (s)
1 3 5.342 22.4 .32117.14
2 10.938 23.2 6.712 18.52
3 16.311 23.7 9.131 18.79
4 22.331 23.9 12.342 19.31
5 27.211 24.8 16.201 20.54
Table 7 shows for the total power transfer deviation of
pe
d method performance is
de
ak under shoot & and settling time for scaled fuzzy-PI
controller and conventional PI controller for each inter-
connected power system area.
The robustness of the propose
monstrated based on ITAE that is under step change in
the different demands as
1
Finally, from tables (6,7) and figures (8 to 11) of
ch
6. Conclusions
ces PSO-FLC to improve the
step
ange, the scaled Fuzzy controller has better perform-
ance than the optimized PI controller at all operating
conditions. Therefore, the performance comparison be-
tween both controllers indicates that the frequency re-
sponse of the proposed method has smaller undershoot
and shorter in settling time with respect to PI controller.
This paper introduper-
formance of four-area power system and the linearization
in errors is considered as parametric uncertainties. Each
area consists of the turbine, governor and power system
which modelled by first-order transfer functions. In addi-
tion, PSO was used to adjust the input and the output of
FLC memberships. Simulation results proved that the
proposed scaled FLC has obtained fast response and less
undershoots compared to conventional PI controller.
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