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Table 4 Optimal schedule in 118-bus test system for different scenarios

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

Gen bus # Scenario 1 Scenario 2 Scenario 3 Scenario 4 Scenario 5
Case (a) Case (b) Case (a) Case (b) Case (a) Case (a) Case (b) Case (a) Case (b)  
1 24.87 21.36 28.90 27.63 33.44 31.99 38.58 36.94 44.49 44.03
6 0 0 2.76 0.98 7.79 5.73 13.48 11.16 20.09 19.42
10 404.68 402.11 405.89 404.85 407.56 406.39 409.5 408.22 411.84 411.42
12 85.69 85.22 86.15 85.98 86.67 86.47 87.26 87.04 87.94 87.87
15 19.4 13.86 23.34 20.68 27.87 25.11 32.77 30.07 38.36 37.04
18 12.3 7.05 15.76 13.25 19.79 17.07 24.06 21.35 28.89 27.77
19 20.18 14.71 23.84 21.06 28.07 25.31 32.63 30.07 37.83 36.44
25 195.37 192.97 195.86 194.54 196.59 195.33 197.35 196.2 198.27 197.72
26 281.8 278.62 282.55 280.84 283.63 282 284.77 283.28 286.14 285.44
27 8.84 1.99 12.66 8.88 17.14 13.54 21.9 18.75 27.34 25.76
31 7.23 7.17 7.27 7.24 7.31 7.28 7.36 7.33 7.41 7.4
32 13.52 5.43 17.57 13.01 22.29 17.96 27.17 23.47 32.71 30.76
34 4.13 0 8.1 2.34 12.84 8.52 18.12 15.16 24.21 19.51
36 9.64 0.89 13.39 8.31 17.83 14.05 22.78 20.22 28.47 24.33
40 47.10 40.04 50.66 46.44 54.75 51.4 59.37 56.73 64.64 61.29
42 39.19 29.32 42.65 36.67 46.68 41.52 51.27 46.57 56.54 51.79
46 19.01 18.57 19.15 18.89 19.32 19.09 19.53 19.30 19.77 19.55
49 193.84 188.85 194.82 191.75 196.09 193.36 197.58 194.96 199.36 196.85
54 49.43 47.48 49.68 48.43 49.98 48.83 50.32 49.23 50.71 49.68
55 30.09 0.01 34.69 14.57 40.10 21.77 46.32 29 53.5 37.09
56 30.36 0 35.31 12.97 41.14 20.74 47.87 28.57 55.65 37.33
59 149.87 145.72 150.64 148.10 151.61 149.33 152.72 150.54 154.04 151.96
61 148.96 145.05 149.68 147.31 150.63 148.53 151.74 149.72 153.06 151.14
65 354.25 345.20 355.75 350.29 357.79 352.97 360.17 355.60 363.01 358.71
66 351.16 342.24 352.58 347.23 354.58 349.86 356.92 352.37 359.75 355.42
69 456.99 443.31 458.82 450.77 461.35 454.21 464.19 457.27 467.57 461.37
70 0 0 0 0 0 0 2.63 0 7.36 0
72 0 0 0 0 0.45 0 3.54 0 6.95 0
73 0 0 0 0 2.10 0 5.50 0 9.10 0
74 14.98 0 19.51 0.89 24.45 7.79 29.14 15.28 34.33 23.44
76 20.63 0.31 24.97 12.44 29.93 18.68 35.26 26.45 41.34 33.93
80 432.96 421.87 435.27 426.78 438.30 430.68 441.86 437.64 446.12 442.41
87 3.63 3.57 3.68 3.63 3.74 3.7 3.81 3.78 3.9 3.88
89 506.1 498.86 509.61 504.33 514.43 509.86 520.39 517.63 527.65 525.23
100 232.11 228.99 233.45 231.15 235.10 233.16 237.05 235.94 239.40 238.42
103 38.31 37.96 38.50 38.24 38.71 38.51 38.96 38.85 39.26 39.16
104 0 0 0 0 2.90 0.21 7.50 5.82 12.87 11.41
105 4.16 0.01 8.35 4.45 12.55 9.94 17.14 15.69 22.48 21.22
107 27.58 24.41 30.46 28.36 33.43 31.98 36.7 35.9 40.45 39.76
110 6.69 3.47 9.71 7.47 13.11 11.43 17.02 16.08 21.60 20.79
111 35.3 35.18 35.40 35.32 35.53 35.47 35.69 35.65 35.87 35.84
112 35.17 33.5 37.44 36.3 39.92 39.09 42.75 42.29 45.99 45.6
113 0 0 0 0 0.01 0 3.28 0.24 8.02 6.96