基于SCADA运行数据的风电机组塔架振动建模与监测  

Wind Turbine Tower Vibration Modeling and Monitoring Driven by SCADA Data

作　　者：郭鹏[1] 徐明 白楠[1] 马登昌[1] 

机构地区：[1]华北电力大学控制与计算机工程学院,北京市昌平区102206 [2]国网新源张家口风光储示范电站有限公司,河北省张家口市075000

出　　处：《中国电机工程学报》2013年第5期128-135,20,共8页Proceedings of the CSEE

基　　金：国家科技支撑计划课题(2011BAA07B04);中央高校基本科研业务费资助项目(12MS58)~~

摘　　要：振动信号是风电机组数据采集与监视控制(supervisorycontrol and data acquisition,SCADA)系统中的一类重要变量。对振动信号的建模和分析可以实现对机组重要部件如塔架、传动链、叶轮等的状态监测工作。采用非线性状态估计技术(nonlinear state estimate technique,NSET)作为建模方法,在对风电机组塔架振动特性及其影响因素进行细致分析的基础上,建立了塔架振动模型。该模型由额定风速以下和额定风速以上两部分子模型构成。同时,对非线性状态估计技术的物理意义及特点进行了深入的分析和探讨。在某风电机组2006年4至6月份SCADA数据的基础上,建立了覆盖其正常工作状态的塔架振动模型,并对该模型进行了验证。研究表明,基于NSET的塔架振动建模方法具有方法简单、物理意义明确和建模精度高等优点,为后续拟开展的风电机组振动状态监测和早期故障诊断打下了良好的基础,同时为风电机组振动分析提供了新的思路。Vibration signal is one kind of important variables for wind turbine in supervisory control and data acquisition（SCADA） System.With modeling and analysis of vibration signals,incipient failure of key components such as tower,drive train and rotor could be detected.In this paper,nonlinear state estimate technique（NSET） was applied to model the tower vibration providing a good understanding of the tower vibration dynamic characteristics and the main factors influencing these.The developed tower vibration model comprises two different parts：a sub-model used for the conditions that below rated wind speed;and another for that above rated wind speed.The merits and physical interpretation of NSET were also discussed and analyzed.With SCADA of one wind turbine during April to June in 2006,NSET model for tower vibration in normal working condition was established and validated.Research shows that the NSET modeling method for tower vibration has the merits of simplicity,direct physical interpretation and high accuracy.The research makes a good preparation for the condition monitoring for wind turbine key components such as rotors and it also provides a new idea for vibration analysis.

关 键 词：数据采集与监视控制系统(SCADA) 状态监测 塔架振动 非线性状态估计(NSET) 风电机组 

分 类 号：TM315[电气工程—电机]