Optimization of Wind Farm Micro Sitting Based on Genetic Algorithm

Abstract:

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In order to increase wind energy utilization efficiency by the optimization of the wind farm micro sitting, a method which could calculate the wind farm velocity is proposed by consideration of multi turbines wake loss and superposition. Based on the given velocity data of a wind farm, the maximal annual energy production is set as the optimal objective and the ordinates of wind turbines would be the optimal variables, micro sittings of the wind farm turbines are optimized by genetic algorithm. Layout calculation result of the optimal method is quite similar to that of other successful search method, but higher efficiency is reached, and the micro sitting layout is agreement with the regular plum-type layout. Annual energy productions are also calculated under the condition of different wind turbine number. Results show annual energy production increases with the wind turbine number increased, but the increasing trend is lower and lower. The research could provide a reference to wind farm micro-sitting.

Info:

Periodical:

Advanced Materials Research (Volumes 347-353)

Edited by:

Weiguo Pan, Jianxing Ren and Yongguang Li

Pages:

3545-3550

DOI:

10.4028/www.scientific.net/AMR.347-353.3545

Citation:

C. Xu et al., "Optimization of Wind Farm Micro Sitting Based on Genetic Algorithm", Advanced Materials Research, Vols. 347-353, pp. 3545-3550, 2012

Online since:

October 2011

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Price:

$35.00

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