Research Article

Combined Economic and Emission Dispatch Problem of Wind-Thermal Power System Using Gravitational Particle Swarm Optimization Algorithm

Table 5

Best fuel cost and best emission level of different methods for Case 3.

Output solutionsMinimum fuel costMinimum emission level
Generation (pu)GAPSOGSAPSOGSAGPSOAGAPSOGSAPSOGSAGPSOA

G10.03420.02120.02010.02610.02000.42160.41140.44030.46200.4206
G20.23060.15880.13020.15430.15230.56620.42620.55620.47560.4606
G30.08140.07840.27670.08020.08320.58420.54240.36350.54220.5524
G40.75520.72730.85320.74420.71950.41540.35560.52270.43560.3925
G50.21230.24530.05000.22210.27760.46150.53420.48410.40660.5271
G60.18250.17630.03180.15360.18310.38010.50610.45610.46820.5076
0.68250.72560.77530.73410.71530.00260.02120.00460.03040.0224
0.66260.70320.69990.72160.68510.02110.06200.01220.03260.0143
TG (pu)2.84132.83612.83722.83622.83612.85272.85912.83972.85322.8975
TL (pu)0.00730.00210.00320.00220.00210.01870.02510.00570.01920.0635
FC ($/h)306.15288.52296.85288.24286.02646.02655.56652.68661.42665.30
EC (ton/h)0.24620.24300.25460.22790.24250.19700.19440.19690.19430.1941
WPC ($/h)142.78141.45146.36141.52141.62158.52158.86162.06160.61161.23
CPU time (s)6.26832.30253.78812.42382.38648.62364.18733.95524.48614.2428