Wind farm layout optimization using genetic algorithm with different hub height wind turbines

In this paper. the authors first investigate the effects of using different hub height wind turbines in a small onshore wind farm with nested GA. The GA parameters are first validated through pretest and comparison with previous research results. Three case studies are conducte d by comparing wind farms using different hub height wind turbines and using same hub height wind turbines. The results demonstrate that the power output of wind farm with different hub height wind turbines will be better even when the total numbers of wind turbines are same. Different cost models are also taken into account in the analysis. and results indicate that different hub height wind turbines can also improve cost per unit power generated by the wind farm. At last. a large wind farm with commerc ial wind turbines is analyzed to further test the benefits of using different hub height wind turbines in realistic condition s. where the results demonstrat e the conclusion obtained from first three case studies.

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