Wind farm layout optimization based on 3D wake model and surrogate model

Zi Zhen; Wenrui Zhao; Shaojun Li

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Wind farm layout optimization based on 3D wake model and surrogate model

机译：Wind farm layout optimization based on 3D wake model and surrogate model

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ABSTRACT Wind farm layout optimization that considers the wake effect is crucial to improve the power generation and wind energy efficiency of a wind farm. In this study, a state-of-the-art three-dimensional (3D) wake model is used to optimize the layout of wind turbines (WTs) in a wind farm. A surrogate model based on a back propagation neural network(BPNN) is developed to simplify the complex process of calculating the wake deficits. Furthermore, discrete particle swarm algorithm is used for optimizing the wind farm layout while considering different hub heights. The results show that the surrogate model significantly reduces the computation time. The optimization of the layout of WTs with different hub heights in a wind farm substantially reduces the wake effect.

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来源
《International journal of green energy》 |2022年第10期|956-966|共11页
作者
Zi Zhen; Wenrui Zhao; Shaojun Li;
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作者单位

East China University of Science and Technology, Ministry of Education;

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正文语种英语
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Wind farm layout optimization; three-dimensional wake model; surrogate model; discrete particle swarm algorithm; multiple hub heights;

Wind farm layout optimization based on 3D wake model and surrogate model

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