An improved data-driven methodology and field-test verification of yaw misalignment calibration on wind turbines

Chenzhi Qu; Zhongwei Lin; Pei ChenJizhen LiuZhenyu ChenZhen Xie

首页> 外文期刊>Energy conversion & management >An improved data-driven methodology and field-test verification of yaw misalignment calibration on wind turbines

【24h】

An improved data-driven methodology and field-test verification of yaw misalignment calibration on wind turbines

机译：An improved data-driven methodology and field-test verification of yaw misalignment calibration on wind turbines

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

Yaw misalignment is being gradually recognized as a critical aspect for repowering aged wind turbines. For large-scale wind farms, the detection and calibration of yaw misalignment need to balance the relationship among accuracy, efficiency, and cost. This paper presents a data-driven yaw misalignment calibration method, and implements the field test with slight hardware modification. The specific procedures, including data preprocessing, regionalization and inference are listed step by step, which sustain the calibration direction and value of yaw misalignment calibration. Then, the historical data are extracted from system database of six adjacent commercial 2 MW wind turbines, and the proposed data-driven calibration method is applied, where the nacelle-mounted LiDAR is also introduced for auxiliary calibration and comparison. Field verification is implemented in these six wind turbines, through implementing pre-defined yaw offsets. The performance evaluations are conducted from different aspects, and compared with the same period of previous year. Consistent results show that both power production and yaw control accuracy are improved significantly, while the data-driven calibration method is with the same direction and acceptable deviation as the LiDAR. Hence, the proposed yaw misalignment calibration could be considered a propagable repowering technique with advantages of low cost, high efficiency, and acceptable accuracy.

著录项

来源
《Energy conversion & management》 |2022年第8期|115786.1-115786.20|共20页
作者
Chenzhi Qu; Zhongwei Lin; Pei ChenJizhen LiuZhenyu ChenZhen Xie;
展开▼
作者单位

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, PR China,Huairou Laboratory, Beijing 101400, PR China;

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, PR China,China Huaneng Group., Ltd., Beijing 100031, PR China;

展开▼
收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类
关键词
Wind turbines; Yaw misalignment; Data-driven algorithm; Nacelle-mounted LiDAR; Field test;

An improved data-driven methodology and field-test verification of yaw misalignment calibration on wind turbines

摘要

著录项

相关主题

期刊订阅