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

Table 2

Comparison of best solution for fuel cost minimization 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	0.1141	0.1156	0.1130	0.1229	0.1011	0.1336	0.1349	0.0951	0.1156	0.1129
G2	0.3108	0.3039	0.3145	0.2880	0.2883	0.3201	0.3094	0.2389	0.2861	0.2995
G3	0.5994	0.5316	0.5826	0.5792	0.5852	0.6414	0.5536	0.6746	0.5133	0.5266
G4	0.9816	1.0199	0.9860	0.9875	0.9832	0.8430	1.0104	1.0158	1.0252	1.0169
G5	0.5048	0.5124	0.5264	0.5255	0.5271	0.5730	0.4615	0.4224	0.5373	0.5268
G6	0.3559	0.3579	0.3450	0.3564	0.3749	0.3338	0.3721	0.3953	0.3651	0.3595
TG (pu)	2.8666	2.8413	2.8675	2.8596	2.8598	2.8459	2.8419	2.8421	2.8426	2.8422
TL (pu)	0.0326	0.0073	0.0335	0.0256	0.0258	0.0119	0.0079	0.0081	0.0086	0.0082
FC ($/h)	607.67	600.83	607.79	605.98	606.11	601.63	600.57	602.23	600.44	600.29
EC (ton/h)	0.2198	0.2221	0.2201	0.2202	0.2205	0.2168	0.2208	0.2255	0.2230	0.2221
CPU time (s)	NR	1.9956	NR	NR	0.8814	0.1136	0.0259	0.1038	0.1156	0.1062

NR means not reported in the referred literature.