Intelligent design for regularized wind farms based on genetic algorithm

Abstract In this paper, two regularized scheduling strategies for the GA algorithm are proposed. The conclusion shows that algorithms play a role in boosting power optimization. The energy output of the wind farm is improved by around 0.2%-0.5%, and the GA algorithm has the best optimization effect...

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Published inJournal of physics. Conference series Vol. 2835; no. 1; pp. 12027 - 12032
Main Authors Li, Zhaoming, Liu, Zhenqing, Liu, Yuliang, Liu, Shujie, Jiang, Wei, Li, Changjie, Jiang, Zhiwei, Gu, Xun, Ma, Xueyun
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.08.2024
Subjects
Design optimization
Genetic algorithms
Wind effects
Wind power
Wind turbines
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Summary:Abstract In this paper, two regularized scheduling strategies for the GA algorithm are proposed. The conclusion shows that algorithms play a role in boosting power optimization. The energy output of the wind farm is improved by around 0.2%-0.5%, and the GA algorithm has the best optimization effect at a turbine distance of 160 m (4 times the turbine diameter).
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2835/1/012027