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

Journal of Electrical Systems and Information Technology

Table 3 Simulation results of IEEE 118-bus test system

Item	Scenario 1		Scenario 2		Scenario 3		Scenario 4		Scenario 5
Item	Case (a)	Case (b)	Case (a)	Case (b)	Case (a)	Case (b)	Case (a)	Case (b)	Case (a)	Case (b)
P_d (MW)	4242		4330.5		4442.6		4578.3		4737.6
Q_d (MVAr)	1438		1526.5		1638.6		1774.3		1933.6
P_g,CE (MW)	4315.52	4065.33	4404.8	4232.37	4517.51	4358.89	4653.95	4506.39	4814.26	4675.14
Q_g,CE (MVAr)	245.9	87.95	331.81	182.81	441.95	312.73	576.39	431.4	735.64	578.11
P_g,RE (MW)		250.66		172.15		158.18		147.24		138.46
Q_g,RE (MVAr)		81.66		58.37		56.97		57.23		58.88
CE_Cost($/h)	129,440.95	119,544.86	133,007.71	126,156.87	137,512.82	131,191.64	142,977.15	137,072.44	149,412.16	143,825.23
P_loss (MW)	73.5234	73.9873	74.3031	74.0204	74.9098	74.4698	75.6547	75.324	76.6637	75.997
VCPI_avg	0.0038	0.0037	0.004	0.0039	0.0043	0.0042	0.0046	0.0045	0.0051	0.005
AVDI_avg	0.0005	0.0005	0.0006	0.0005	0.0006	0.0006	0.0007	0.0006	0.0007	0.0007