基于Hilbert变换的双馈风力发电机叶轮质量不平衡故障特性分析

doi:10.19595/j.cnki.1000-6753.tces.200506

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摘要叶轮质量不平衡是风力发电机组常见的故障之一,现有分析方法是基于轮毂处的平均风速开展,没有考虑风剪塔影效应引起的风速时空分布对故障特征的影响。该文提出并研究考虑风速时空分布的叶轮质量不平衡故障特征分析。首先,对故障特性进行理论分析,使用dq坐标变换推导得到考虑风剪切和塔影效应后叶轮质量不平衡故障下转子角速度及定、转子电流的解析表达,分析其变化特性。然后,在Matlab/Simulink搭建双馈风力发电机模型及等效风速模型,使用Hilbert解调方法提取电气信号特征频率,以验证解析推导的正确性。结果表明,考虑风速时空分布以及风剪切、塔影效应的影响后,叶轮质量不平衡故障将导致转子角速度中存在1倍及3i（i=1, 2,…, n）倍转频,定、转子电流中存在1倍及3i倍转频的调制频率,其中,3i倍频是由风速时空分布造成的。

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	程侃如
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关键词 ：双馈风力发电机, 风速时空分布, 叶轮质量不平衡, 电气特性, Hilbert变换

Abstract：Blade mass imbalance is one of the common faults of wind turbines. Most of the analysis methods are based on the average wind speed at the hub, ignoring the influence of wind speed spatiotemporal distribution on the fault characteristics. This paper analyzes the fault characteristics of the blade mass imbalance considering the wind speed spatiotemporal distribution. Firstly, the fault characteristics are analyzed, and taking the wind shear and tower shadow effects into account, the analytical expressions and the change characteristics of the rotor angular velocity, the stator and rotor currents under the blade mass imbalance condition are discussed. Then, the DFIG model and the equivalent wind speed model based on the basic wind speed were built in Matlab/Simulink, and the electrical signal was analyzed using Hilbert demodulation to verify the correctness of the analytical derivation. The results show that after considering the influence of the wind speed spatiotemporal distribution, the blade mass imbalance fault will result in one-fold and 3i (i=1, 2,…, n) fold rotating frequency fluctuations in the rotor angular velocity, and the modulation frequencies in the stator and rotor currents are one-fold and 3i-fold rotating frequencies, among which the 3i-fold rotating frequency fluctuation is caused by the spatiotemporal distribution of wind speed.

Key words： Doubly-fed induction generator wind speed spatiotemporal distribution blade mass imbalance electrical characteristics Hilbert demodulation

收稿日期: 2020-05-14

PACS:

TM315

基金资助:国家自然科学基金（51777075）、河北省自然科学基金（E2019502064）和中央高校基本科研专项资金（2018MS121）资助项目

通讯作者: 万书亭男,1970年生,教授,博士生导师,研究方向为电气设备状态监测与故障诊断。E-mail: 13582996591@139.com

作者简介: 程侃如女,1995年生,硕士研究生,研究方向为风力发电机状态监测与故障诊断。E-mail: chengkr95@163.com

引用本文:

程侃如, 万书亭, 绳晓玲, 王萱. 基于Hilbert变换的双馈风力发电机叶轮质量不平衡故障特性分析[J]. 电工技术学报, 2021, 36(24): 5225-5236. Cheng Kanru, Wan Shuting, Sheng Xiaoling, Wang Xuan. Characteristic Analysis of Blade Mass Imbalance Fault of Doubly-Fed Induction Generator Based on Hilbert Transform. Transactions of China Electrotechnical Society, 2021, 36(24): 5225-5236.

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