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

Table 6

Comparison of best compromise solution offered by different algorithms for Case 1.

Generation (pu)	MBFA [22]	OHS [23]	FCPSO [22]	BB-MOPSO [14]	TV-MOPSO [14]	OGSA [20]	PSO	GSA	PSOGSA	GPSOA
G1	0.2595	0.2121	0.1501	0.1322	0.0812	0.1168	0.2873	0.5000	0.2886	0.2966
G2	0.3769	0.3066	0.2489	0.2142	0.3288	0.4049	0.3816	0.4644	0.4211	0.3948
G3	0.5636	0.6886	0.7812	0.8406	0.4865	0.6105	0.7136	0.5349	0.7104	0.5432
G4	0.6759	0.6794	0.7282	0.6964	0.9364	0.7348	0.6277	0.2333	0.6875	0.6246
G5	0.5499	0.5822	0.6026	0.6253	0.4877	0.5562	0.3756	0.6131	0.2661	0.5295
G6	0.4344	0.3869	0.3528	0.3452	0.5392	0.4272	0.4639	0.5002	0.4682	0.4512
TG (pu)	2.8602	2. 8538	2.8638	2.8539	2.8598	2.8504	2.8497	2.8549	2.8419	2.8408
TL (pu)	0.0262	0.0198	0.0298	0.0199	0.0258	0.0164	0.0157	0.0209	0.0079	0.0068
FC ($/h)	616.50	614.42	612.81	615.68	614.68	612.83	615.29	618.44	615.62	615.38
EC (ton/h)	0.2002	0.2034	0.2109	0.2082	0.1982	0.1983	0.1979	0.1981	0.1979	0.1978
PPF ($/ton)	5928.7134
TC ($/h)	1803.43	1820.32	1863.18	1850.04	1789.75	1790.95	1789.98	1792.92	1788.91	1788.41
CPU time (s)	NR	NR	0.0922	0.1466	0.1862	0.1146	0.0271	0.1054	0.116	0.1078

NR means not reported in the referred literature.