Research Article
Optimal Wind Turbines Micrositing in Onshore Wind Farms Using Fuzzy Genetic Algorithm
Table 5
Main results for the configurations of Case 2.
| | Initial | Final (FGA) | Final (GA) |
| Average wake loss (%) of WTs | 0.16 | 0.07 | 0.06 | Average wind speedup (%) of WTs due to terrain | 8.14 | 9.87 | 9.73 | WF AEP (GWh) | 32.44 | 43.65 | 42.34 | WF construction cost (¥) | 7.80 × 108 | 7.50 × 108 | 7.62 × 108 | WF annual operation and maintenance costs (¥) | 3.50 × 105 | 3.30 × 105 | 3.37 × 105 | Energy-saving emission reduction contribution (¥) | 7.60 × 105 | 10.23 × 105 | 9.92 × 105 | WF NAV (¥) | 1.63 × 1010 | 2.19 × 1010 | 2.11 × 1010 |
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