文章摘要
张超,赵广翰.基于SCADA数据协整分析的风力发电机状态监测[J].机床与液压,2022,50(12):17-21.
ZHANG Chao,ZHAO Guanghan.Wind Turbine State Detection Based on SCADA Data Cointegration Analysis[J].Machine Tool & Hydraulics,2022,50(12):17-21
基于SCADA数据协整分析的风力发电机状态监测
Wind Turbine State Detection Based on SCADA Data Cointegration Analysis
  
DOI:10.3969/j.issn.1001-3881.2022.12.004
中文关键词: 风力发电机  状态监测;协整分析;非平稳
英文关键词: Wind turbine  Condition monitoring  Co-integration analysis  Nonstationary
基金项目:国家自然科学基金项目(51965052);内蒙古自治区科技计划项目(2018KG007)
作者单位E-mail
张超 内蒙古科技大学机械工程学院 1309527860@qq.com 
赵广翰 内蒙古科技大学机械工程学院  
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中文摘要:
      提出一种基于SCADA数据协整分析的风电机组状态监测方法。利用风力发电机SCADA数据的协整过程得到的协整残差用于风力发电机运行状态监测。取内蒙古包头市金杰公司某1.5 MW双馈风力发电机在不同环境和运行条件下的实验数据,对所提方法有效性进行验证。对风力发电机的多个过程参数进行了两阶段的协整处理,数据趋势具有非线性特征。用已知故障案例对该方法进行了测试。结果表明:该方法能有效地对风力发电机运行状态进行监测。
英文摘要:
      A wind turbine condition monitoring method was proposed based on SCADA data co-integration analysis. The co-integration residual obtained by the co-integration process of the SCADA data of the wind turbine was used for monitoring the operation state of the wind turbine. Taking the experimental data of a 1.5 MW doubly-fed wind generator under different environments and operating conditions from Jinjie Company in Baotou City, Inner Mongolia, the effectiveness of the proposed method was verified. A two-stage co-integration process was performed on multiple process parameters of the wind turbine, and the data trend had non-linear characteristics. The method was tested with known failure cases. The results show that this method can effectively monitor the running status of wind turbines.
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