502 Artifi cial Intelligence in Power System Optimization
Fig. 2.24 The results from 50 trials with the IEEE 30 bus test system.
Color Plate Section 503
B(P
d
) = – 0.01P
d
2
+80P
d
C(P
1
) = 0.05 P
1
2
+18P
1
B(P
d
) – C(P
1
)
Cost
MW
15000
10000
5000
0
50 100 150 200 250 300
70
65
60
55
50
45
40
35
30
25
20
Incremental Cost
MW
– 0.02P
d
+ 80
0.1P
5
+ 18
50 100 150 200 250 300
Fig. 2.37 The maximum social welfare objective.
504 Artifi cial Intelligence in Power System Optimization
Chapter 5
Fig. 5.4 The linearized cost function.
Color Plate Section 505
Chapter 6
Line Q
Loss
as per Load Change (in SIL)
1
0.8
0.6
0.4
0.2
0
–0.2
Q
Loss
(in SIL)
0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 1.5
Real Power Load (SIL)
0.7 lagging
0.8 lagging
0.9 lagging
1
0.9 leading
0.8 leading
0.7 lagging
0.8 lagging
0.9 lagging
1
0.9 leading
0.8 leading
Real Power Load (SIL)
|Vr/Vs| as per Load Change (in SIL)
|Vr/Vs| (p.u.)
0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 1.5
1.2
1.1
1
0.9
0.8
0.7
0.6
Fig. 6.3 Q
Loss
as per power loading (211 km).
Fig. 6.4 Receiving end voltage as per real power loading (211 km).
506 Artifi cial Intelligence in Power System Optimization
P-V Curve
Active Power Transfer (p.u.)
Receiving End Bus Voltage (p.u.)
0 5 10 15 20 25 30 35 40
1.2
1
0.8
0.6
0.4
0.2
0
p.f.=0.9 lagging
p.f.=1.0
p.f.=0.9 leading
Line Q
Loss
as per Load Change (in SIL)
Real Power Load (SIL)
0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 1.4 1.5
1
0.8
0.6
0.4
0.2
0
–0.2
Q
Loss
(in SIL)
0.7 lagging
0.8 lagging
0.9 lagging
1
0.9 leading
0.8 leading
Fig. 6.6 P-V Curve.
Fig. 6.16 Q
Loss
as per power loading (105 km).
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