基于SPOD-DNN的风电场尾流分析非侵入式降阶模型

IF 1.5 Q4 ENERGY & FUELS Wind Engineering Pub Date : 2023-04-10 DOI:10.1177/0309524X231162638
Zhaoliang Guo, Li Xu, Guanhao Zhou, Kaijun Zhang
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引用次数: 0

摘要

风电场尾流建模对风力机布局优化设计和偏航控制策略具有重要意义。本文将深度神经网络(DNN)与谱固有正交分解(SPOD)相结合,研究不同入流条件下尾流的动态特性。通过对比预测结果,对所提出的参数化流体SPOD-DNN代理建模方法进行了评价。同时,我们通过与POD- dnn的比较证明了SPOD- dnn的鲁棒性,其中SPOD比POD产生更少的模式,但可以达到相同的累积贡献率和尾迹预测精度。最后,将该方法应用于非训练入流条件下单台风力机的尾迹预测和不同偏航角下6台风力机的尾迹预测。结果表明,该模型具有良好的泛化性能,能够鲁棒地重建多台风力机不同方向的尾迹。
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A non-intrusive reduced-order model for wind farm wake analysis based on SPOD-DNN
Wind farm wake modeling is of great significance for wind turbine layout optimization design and yaw control strategy. In this work, we combine deep neural network (DNN) with spectral proper orthogonal decomposition (SPOD) to discover dynamic characteristics of wake under different inflow conditions. Then an assessment of the proposed SPOD-DNN surrogate modeling method of parameterized fluid is performed by comparing the predicted results. Meanwhile, we demonstrate the robustness of the SPOD-DNN through a comparison with POD-DNN, where SPOD produces fewer modes than POD but can achieve the same cumulative contribution rate and wake prediction accuracy. In the end, the method is developed to predict the wake of single wind turbine in untrained inflow condition and Wake of six wind turbines with different yaw angles. The results reveals that the model has good generalization performance and can robustly reconstruct the wake of multiple wind turbines in different directions.
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来源期刊
Wind Engineering
Wind Engineering ENERGY & FUELS-
CiteScore
4.00
自引率
13.30%
发文量
81
期刊介绍: Having been in continuous publication since 1977, Wind Engineering is the oldest and most authoritative English language journal devoted entirely to the technology of wind energy. Under the direction of a distinguished editor and editorial board, Wind Engineering appears bimonthly with fully refereed contributions from active figures in the field, book notices, and summaries of the more interesting papers from other sources. Papers are published in Wind Engineering on: the aerodynamics of rotors and blades; machine subsystems and components; design; test programmes; power generation and transmission; measuring and recording techniques; installations and applications; and economic, environmental and legal aspects.
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