Research Article
Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem
Table 1
Result comparison for the IEEE 30-bus system with quadratic fuel cost functions.
| | | Min | Max | EP [18] | PSO [24] | ACO [25] | ABC |
| | (MW) | 50 | 200 | 173.8262 | 175.6915 | 177.8635 | 177.7793 | | (MW) | 20 | 80 | 49.998 | 48.6390 | 43.8366 | 51.3022 | | (MW) | 15 | 50 | 21.386 | 21.4494 | 20.8930 | 21.1685 | | (MW) | 10 | 35 | 22.63 | 22.7200 | 23.1231 | 14.6921 | | (MW) | 10 | 30 | 12.928 | 12.2302 | 14.0255 | 14.6290 | | (MW) | 12 | 40 | 12.000 | 12.000 | 13.1199 | 12.7487 | | Loss (MW) | | | 9.3683 | 9.3301 | 9.4616 | 8.9197 | | Min. cost ($/h) | | | 802.5557 | 802.0136 | 803.123 | 800.1874 | | Avg. cost ($/h) | | | — | — | — | 807.1770 | | Max. cost ($/h) | | | — | — | — | 826.6428 | | Std. dev. | | | — | — | — | 3.7156 | | CPU (s) | | | 51.4 | 77.672 | 20 | 22.73 | | Adjusted CPU (s) | | | 3.1 | 56.15 | 22.53 | 22.73 |
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