Resonance analysis and control strategy for wind turbine with rigid tower

LI Yingfeng; TONG Bo; HAN Bin; ZHAO Yong

doi:10.19666/j.rlfd.201904081

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Resonance analysis and control strategy for wind turbine with rigid tower

更新时间：2025-09-28

- Resonance analysis and control strategy for wind turbine with rigid tower
- Thermal Power Generation Vol. 48, Issue 7, Pages: 122-125(2019)
- 作者机构：
  
  西安热工研究院有限公司
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.201904081
  CLC： TK83
- Published Online：10 July 2019，
  
  Published：2019
- 稿件说明：
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LI Yingfeng, TONG Bo, HAN Bin, et al. Resonance analysis and control strategy for wind turbine with rigid tower[J]. Thermal power generation, 2019, 48(7): 122-125.
DOI：

LI Yingfeng, TONG Bo, HAN Bin, et al. Resonance analysis and control strategy for wind turbine with rigid tower[J]. Thermal power generation, 2019, 48(7): 122-125. DOI： 10.19666/j.rlfd.201904081.

摘要

本文对风电机组刚性塔架振动故障进行诊断和治理

基于刚性塔架风电机组的塔架动力学模型

确定了刚性塔架共振判定条件

分析了机组刚性塔架因阵风引起转速超调导致塔架共振的原因

提出在叶轮转速反馈控制基础上

建立以功率输出平稳为准则、以叶轮为风速计的预估风速控制优化方法。将该方法用于某2000k W风电机组刚性塔架振动故障

实际结果表明

叶轮转速反馈与预估风速联合控制可有效降低阵风引起的叶轮转速超调

避免机组刚性塔架共振

效果显著。

Abstract

In this paper

the vibration fault of rigid tower of wind turbine is diagnosed and treated. On the basis of dynamic model of the rigid tower of wind turbine

the conditions for judging the resonance of the rigid tower are determined

the reasons of the tower resonance caused by overshoot of rotating speed induced by gust are analyzed

and an optimization method for predicting the wind speed control is put forward

which takes the stable power output as the aim and rotor as a ‘anemometer'

on the basis of feedback control of rotation speed of the impeller. Moreover

this method is applied to analyze the vibration fault of a rigid tower of a 2 000 kW wind turbine

and the results show that

the combined control of impeller speed feedback and estimated wind speed can effectively reduce the overshoot of impeller speed caused by gust

avoid the resonance of rigid tower of the unit

and the effect is remarkable.

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Related Institution

Sifang College, Shijiazhuang Railway University

State Key Laboratory of New Energy Power System, North China Electric Power University

College of Science and Technology, North China Electric Power University

Huaneng New Energy Co., Ltd

Huaneng New Energy Intelligent Operation and Maintenance Center

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