Research Article
Nonconvex Economic Dispatch Using Particle Swarm Optimization with Time Varying Operators
Table 3
Comparison results for case study 1.
| Method | Best fuel cost ($/hr) | Average fuel cost ($/hr) | Worst fuel cost ($/hr) | Total power (MW) | Power loss (MW) | CPU time (s) |
| GA [27] | 24632.42 | 24874.93 | 25188.59 | 2559.87 | 39.87 | 2.25 | DE [27] | 24819.32 | 25217.64 | 25656.40 | 2562.34 | 42.34 | 2.58 | HDE [27] | 24591.76 | 24739.53 | 25074.90 | 2559.16 | 39.16 | 3.57 | STHDE [27] | 24560.08 | 24706.63 | 24872.44 | 2564.33 | 44.33 | 2.98 | ICA-PSO [7] | 24540.06 | 24561.46 | 24589.45 | 2559.05 | 39.05 | 21.5 | SDE [1] | 24514.88 | 24516.31 | ā | 2560.43 | 40.43 | ā | Proposed PSO | 24514.46 | 24514.58 | 24515.26 | 2558.07 | 38.07 | 2.96 |
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