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Table 1 Simulation results of IEEE 14-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) 259   269.5   282.8   298.9   317.8  
Qd (MVAr) 73.5   84   97.3   113.4   132.3  
Pg,CE (MW) 267.82 192.08 278.5 226.96 292 244.31 308.35 263.71 327.62 285.47
Qg,CE (MVAr) 62.01 23.46 73.16 43.68 87.2 56.29 104.3 72.08 125.55 89.15
Pg,RE (MW) 0 75.2 0 51.65 0 47.45 0 44.17 0 41.54
Qg,RE (MVAr) 0 27.8 0 21.57 0 22.11 0 23.34 0 25.2
CE_Cost($/h) 8054.41 5197.37 8482.53 6448.67 9024.33 7128.36 9682.55 7895.83 10,460.34 8766.25
Ploss (MW) 8.8190 8.2745 8.9987 9.1107 9.1974 8.9649 9.4504 8.9808 9.8233 9.2046
VCPIavg 0.006 0.0088 0.0067 0.0082 0.0076 0.0073 0.009 0.0071 0.0112 0.0079
AVDIavg 0.0006 0.0027 0.0007 0.0011 0.0008 0.0007 0.0011 0.0007 0.0019 0.0008
Optimal schedule at CE sources
Pg1 (MW) 196.52 161.64 197.25 187.16 198.04 191.21 198.61 194.86 199.37 196.78
Pg2 (MW) 36.9 30.43 37.09 35.18 37.27 36.01 37.42 36.72 37.61 37.11
Pg3 (MW) 27.07 0 30.86 4.62 34.49 17.09 37.84 28.19 41.73 34.76
Pg4 (MW) 0 0 0 0 2.69 0 8.61 0 15.36 0
Pg5 (MW) 7.32 0 13.31 0 19.51 0 25.87 3.94 33.56 16.82