多源数据驱动的风电机组偏航稳态误差校准方法及现场应用测试

曲晨志; 林忠伟; 刘吉臻; 谢镇; 陈佩; 陈振宇; 陈玲

doi:10.19805/j.cnki.jcspe.2025.240025

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多源数据驱动的风电机组偏航稳态误差校准方法及现场应用测试

新能源与储能 | 更新时间：2026-01-27

- 多源数据驱动的风电机组偏航稳态误差校准方法及现场应用测试
- Multi-source Data-driven Yaw Steady-state Error Calibration Method for Wind Turbines and Field Application Testing
- 动力工程学报 2025年45卷第4期页码：544-553
- 作者机构：
  
  1. 华北电力大学控制与计算机工程学院,北京,102206
  2. 华北电力大学新能源电力系统全国重点实验室,北京,102206
  3. 中国华能集团有限公司,北京,100031
  4. 中国电力工程顾问集团中南电力设计院有限公司,湖北,武汉,430071
- 作者简介：
  
  [ "曲晨志(1996—),男,新疆乌鲁木齐人,博士研究生,研究方向为风电机组建模与控制,E-mail:qchenzhi@outlook.com" ]
- 基金信息：
  
  国家自然科学基金面上资助项目(61973114);国家电网有限公司总部管理科技资助项目(5100-202199543A-0-5-ZN);风电场尾流场群控制优化研究资助项目(40-1A-KY202112-Q101)
- DOI：10.19805/j.cnki.jcspe.2025.240025
  中图分类号： TM315
- 网络出版：2025-04-28，
  
  纸质出版：2025
- 稿件说明：
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曲晨志,林忠伟,刘吉臻,谢镇,陈佩,陈振宇,陈玲. 多源数据驱动的风电机组偏航稳态误差校准方法及现场应用测试动力工程学报, 2025, 45(4): 544-553 https://doi.

org/10.19805/j.cnki.jcspe.2025.240025
曲晨志,林忠伟,刘吉臻,谢镇,陈佩,陈振宇,陈玲. 多源数据驱动的风电机组偏航稳态误差校准方法及现场应用测试动力工程学报, 2025, 45(4): 544-553 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.240025.

org/10.19805/j.cnki.jcspe.2025.240025 DOI：

摘要

提出了一种数据驱动的偏航稳态误差校准方法

在不经过大规模硬件改装的条件下

达到改善发电效率的目的。以2 MW水平轴风电机组为研究对象

建立了基于数据采集与监视控制系统(SCADA)数据驱动的稳态误差计算方法

给出量化的误差校准参考;在目标机组上安装了机舱式激光雷达

通过对比多源风向数据

建立了雷达参与稳态误差校准的策略。在综合考虑SCADA和雷达2种数据源计算的误差校准参考情况下

对商用机组进行了工程现场应用及性能评估。结果表明:校准后机组的偏航控制精度和发电效率显著改善

所提方法可用于风电机组增功提效的技术改造。

Abstract

A data-driven yaw steady-state error calibration method was proposed

aiming to improve power generation efficiency without extensive hardware modifications. Taking a 2 MW horizontal-axis wind turbine as the research object

a steady-state error calculation method based on data acquisition and monitoring control system (SCADA) was established

providing a quantitative reference for error calibration. A nacelle-mounted lidar was installed on the target turbine to participate in calibration verification. By analyzing and comparing multi-source wind direction data

a strategy for lidar participation in steady-state error calibration was developed. Considering the error calibration references calculated from both SCADA and lidar data sources

the method was applied and evaluated in the field on a commercial turbine. Results show that the yaw control accuracy and power generation efficiency of the turbine have been improved significantly after calibration. The proposed method can be used for technical upgrades to enhance the performance of wind turbines.

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references

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