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Wind turbine positioning optimization of wind farm using greedy algorithm
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10.1063/1.4800194
/content/aip/journal/jrse/5/2/10.1063/1.4800194
http://aip.metastore.ingenta.com/content/aip/journal/jrse/5/2/10.1063/1.4800194

Figures

Image of FIG. 1.
FIG. 1.

Schematic of the wake model.

Image of FIG. 2.
FIG. 2.

Wind conditions of the three test cases.

Image of FIG. 3.
FIG. 3.

Optimized layouts for Case 1.

Image of FIG. 4.
FIG. 4.

Optimized layouts for Case 2.

Image of FIG. 5.
FIG. 5.

Optimized layouts for Case 3.

Image of FIG. 6.
FIG. 6.

The optimized results for various optimization methods.

Image of FIG. 7.
FIG. 7.

Wind data for Case 4.

Image of FIG. 8.
FIG. 8.

Optimized layouts for Case 4.

Image of FIG. 9.
FIG. 9.

Optimized results of Case 4 for various numbers of turbines.

Tables

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Table I.

Wind turbine properties for the three test cases. 3

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Table II.

Comparison of results for Case 1.

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Table III.

Comparison of results for Case 2.

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Table IV.

Comparison of results for Case 3.

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Table V.

Wind turbine properties used in Case 4. 17

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Table VI.

Parameters of PROFIT. 17

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Table VII.

Comparison of the optimized results of Case 4.

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Table VIII.

Parameters of the real-coded genetic algorithm.

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/content/aip/journal/jrse/5/2/10.1063/1.4800194
2013-04-05
2014-04-16
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Wind turbine positioning optimization of wind farm using greedy algorithm
http://aip.metastore.ingenta.com/content/aip/journal/jrse/5/2/10.1063/1.4800194
10.1063/1.4800194
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