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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