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 solutions | Minimum fuel cost | Minimum emission level | Generation (pu) | GA | PSO | GSA | PSOGSA | GPSOA | GA | PSO | GSA | PSOGSA | GPSOA |
| G1 | 0.0342 | 0.0212 | 0.0201 | 0.0261 | 0.0200 | 0.4216 | 0.4114 | 0.4403 | 0.4620 | 0.4206 | G2 | 0.2306 | 0.1588 | 0.1302 | 0.1543 | 0.1523 | 0.5662 | 0.4262 | 0.5562 | 0.4756 | 0.4606 | G3 | 0.0814 | 0.0784 | 0.2767 | 0.0802 | 0.0832 | 0.5842 | 0.5424 | 0.3635 | 0.5422 | 0.5524 | G4 | 0.7552 | 0.7273 | 0.8532 | 0.7442 | 0.7195 | 0.4154 | 0.3556 | 0.5227 | 0.4356 | 0.3925 | G5 | 0.2123 | 0.2453 | 0.0500 | 0.2221 | 0.2776 | 0.4615 | 0.5342 | 0.4841 | 0.4066 | 0.5271 | G6 | 0.1825 | 0.1763 | 0.0318 | 0.1536 | 0.1831 | 0.3801 | 0.5061 | 0.4561 | 0.4682 | 0.5076 | | 0.6825 | 0.7256 | 0.7753 | 0.7341 | 0.7153 | 0.0026 | 0.0212 | 0.0046 | 0.0304 | 0.0224 | | 0.6626 | 0.7032 | 0.6999 | 0.7216 | 0.6851 | 0.0211 | 0.0620 | 0.0122 | 0.0326 | 0.0143 | TG (pu) | 2.8413 | 2.8361 | 2.8372 | 2.8362 | 2.8361 | 2.8527 | 2.8591 | 2.8397 | 2.8532 | 2.8975 | TL (pu) | 0.0073 | 0.0021 | 0.0032 | 0.0022 | 0.0021 | 0.0187 | 0.0251 | 0.0057 | 0.0192 | 0.0635 | FC ($/h) | 306.15 | 288.52 | 296.85 | 288.24 | 286.02 | 646.02 | 655.56 | 652.68 | 661.42 | 665.30 | EC (ton/h) | 0.2462 | 0.2430 | 0.2546 | 0.2279 | 0.2425 | 0.1970 | 0.1944 | 0.1969 | 0.1943 | 0.1941 | WPC ($/h) | 142.78 | 141.45 | 146.36 | 141.52 | 141.62 | 158.52 | 158.86 | 162.06 | 160.61 | 161.23 | CPU time (s) | 6.2683 | 2.3025 | 3.7881 | 2.4238 | 2.3864 | 8.6236 | 4.1873 | 3.9552 | 4.4861 | 4.2428 |
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