海上风力机前端风电场瞬态重构研究

姜贞强; 王滨

doi:10.19912/j.0254-0096.tynxb.2022-1790

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太阳能学报 ›› 2024, Vol. 45 ›› Issue (3) : 65-72. DOI: 10.19912/j.0254-0096.tynxb.2022-1790

海上风力机前端风电场瞬态重构研究

姜贞强¹, 王滨^2,3

作者信息 +

TRANSIENT RECONSTRUCTION OF WIND FARM AHEAD OF OFFSHORE WIND TURBINES

Jiang Zhenqiang¹, Wang Bin^2,3

Author information +

文章历史 +

摘要

针对海上风电单机位风速测点有限的关键问题,提出一种基于少数风速测点的海上风力机前端风电场瞬态扩展方法。基于本征正交分解（POD）将先验风电场数据分解为时间系数与空间模态特征信息,通过循环神经网络（RNN）建立有限风速测点到全局风电场的非线性映射关系,实时构建海上瞬态风电场。结果表明基于POD-RNN的重构模型可通过有限风速测点准确重构海上风力机前端风电场,全局风电场瞬态重构均方根误差（RMSE）可控制在1.8136 m/s内。

Abstract

To address the key problem of insufficient measurement locations of wind speed for the individual offshore wind power structure, a transient expansion method of the wind farm ahead of offshore wind turbines based on limited measurement data for wind speed is proposed. The prior farm data is decomposed into feature information for both the temporal coefficients and the spatial modes based on proper orthogonal decomposition （POD）. A nonlinear mapping relationship from insufficient measurement locations of wind speed to the global wind farm is established by recurrent neural networks （RNN） to construct the offshore transient wind farm in real time. The results show that the proposed POD-RNN method can accurately reconstruct the wind farm ahead of the offshore wind turbine using limited measurement data for wind speed, where the root mean square error （RMSE） of the transient reconstruction of wind farm is within 1.8136 m/s.

导出引用

姜贞强, 王滨. 海上风力机前端风电场瞬态重构研究[J]. 太阳能学报. 2024, 45(3): 65-72 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1790

Jiang Zhenqiang, Wang Bin. TRANSIENT RECONSTRUCTION OF WIND FARM AHEAD OF OFFSHORE WIND TURBINES[J]. Acta Energiae Solaris Sinica. 2024, 45(3): 65-72 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1790

中图分类号： TM614

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