[1]李志勇,王 欣,王 靛,等. 大型直驱风电机组风剪切效应 ANN 软测量方法 [J].控制与信息技术,2020,(04):1.[doi:10.13889/j.issn.2096-5427.2020.04.200]
 LI Zhiyong,WANG Xin,WANG Dian,et al. ANN Soft-sensing Technology of Wind Shear of Large Direct-drive Wind Turbine[J].High Power Converter Technology,2020,(04):1.[doi:10.13889/j.issn.2096-5427.2020.04.200]
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 大型直驱风电机组风剪切效应 ANN 软测量方法

 

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《控制与信息技术》[ISSN:2095-3631/CN:43-1486/U]

卷:
期数:
2020年04期
页码:
1
栏目:
出版日期:
2020-08-31

文章信息/Info

Title:
 ANN Soft-sensing Technology of Wind Shear of Large Direct-drive Wind Turbine
作者:
 (1.中南大学 自动化学院,湖南 长沙 410075;2.中车株洲电力机车研究所有限公司,湖南 株洲 412001)
Author(s):
 LI Zhiyong1 WANG Xin1 WANG Dian2 HUANG Guohang1
 ( 1. School of Automation, Central South University, Changsha, Hunan 410075,China;2. CRRC Zhuzhou Institute Co., Ltd., Zhuzhou, Hunan 412001, China )
关键词:
 软测量直驱风电机组风剪切效应人工神经网络转矩波动
Keywords:
soft-sensing direct-drive wind turbines wind shear ANN(artificial neural network) torque fluctuation
分类号:
TM614
DOI:
10.13889/j.issn.2096-5427.2020.04.200
文献标志码:
A
摘要:
风剪切效应不仅威胁风力发电设备的使用寿命,而且会造成并网侧电压闪变等电能质量问题。为解决风剪切效应难以直接测量的难题,文章建立了三桨叶含风剪切的直驱型永磁同步风力发电机组数学模型,分析了风剪切效应中波动的产生机理以及波动由机械侧到电磁侧的传递机理,并提出了一种基于人工网络(ANN)的大型直驱风电机组风剪切效应软测量方法,其利用自适应噪声对消原理,对输入转速和定子电流造成的风剪切效应进行间接测量。运用GH Bladed进行仿真,结果表明,本文所提方法无需增加额外的传感器设备就能实时测量、精确量化风剪切造成的输出转矩波动。
Abstract:
 Wind shear not only threatens the service life of wind power generation equipment, but also causes power quality problems such as voltage flicker on grid-connected side. To solve the problem that wind shear is difficult to directly measured, this paper established a PMSG mathematical model of three-blade with wind shear, analyzed the fluctuations in wind shear and mechanism of fluctuation from mechanical side to electromagnetic side, and proposed a ANN based wind shear effect soft-sensing method for large wind power generation equipment. The method is on basis of adaptive noise cancellation, to indirectly measure wind shear caused by input turbine speed and stator current. By GH Bladed, the simulation results show that the soft technology proposed in this paper can observe and accurately quantify the output torque fluctuation in real time without additional sensor equipment which lays a scientific and effective foundation for relevant researches on online compensation and control of wind turbines.

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备注/Memo

备注/Memo:
 收稿日期:2019-09-27
作者简介:李志勇(1972—),男,博士,副教授,主要从事新能源及微电网电能质量方面的研究。
更新日期/Last Update: 2020-07-31