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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