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Table 2 Simulation results OF IEEE 30-bus test system

From: Multi-objective economic operation of modern power system considering weather variability using adaptive cuckoo search algorithm

Item

Scenario 1

Scenario 2

Scenario 3

Scenario 4

Scenario 5

Case (a)

Case (b)

Case (a)

Case (b)

Case (a)

Case (b)

Case (a)

Case (b)

Case (a)

Case (b)

Pd (MW)

283.4

 

305.9

 

334.4

 

368.9

 

409.4

 

Qd (MVAr)

126.2

 

148.7

 

177.2

 

211.7

 

252.2

 

Pg,CE (MW)

294.55

218.32

317.65

265.77

347.17

299.04

374.89

333.76

422.04

379.08

Qg,CE (MVAr)

106.42

57.29

132.9

90.44

167.7

123.66

181.87

151.95

253.36

200.38

Pg,RE (MW)

0

75.2

0

51.65

0

47.45

0

44.17

0

41.54

Qg,RE (MVAr)

0

36.82

0

30.59

0

31.13

0

32.37

0

34.22

CE_Cost($/h)

8870.97

5956.04

9797.44

7732.51

10,984.77

9055.7

13,329.5

10,876.59

16,415.97

14,693.45

Ploss (MW)

11.1527

10.1207

11.7513

11.5181

12.7711

12.0917

5.9863

9.0299

12.6449

11.2169

VCPIavg

0.0058

0.0067

0.0082

0.0063

0.0117

0.0086

0.0162

0.0143

0.0222

0.0177

AVDIavg

0.0013

0.0018

0.0024

0.0012

0.0046

0.0024

0.0058

0.0059

0.0131

0.0086

Optimal schedule at CE sources

Pg1 (MW)

215

186.72

216.17

210.42

217.44

214.26

88.98

156.17

166.3

164.06

Pg2 (MW)

36.45

31.6

36.7

35.75

36.96

36.44

30.35

32.61

38.57

38.06

Pg3 (MW)

27.67

0

32.78

19.61

38.02

30.85

94.47

62.89

88.53

74.75

Pg4 (MW)

11.85

0

19.68

0

27.92

15.18

76.73

76.68

53.42

44.49

Pg5 (MW)

3.58

0

12.33

0

22.07

2.32

53.01

0

49.29

39.41

Pg6 (MW)

0

0

0

0

4.76

0

31.36

5.4

25.93

18.31