基于SCADA数据协同的风力机故障检测与控制

Wind Turbine Fault Detection and Control Based on SCADA Data Collaboration

为了在不停机的前提下,安全可靠地对齿轮箱进行故障检测,并实现风力发电机在齿轮箱故障工况下的容错控制运行,提出一种基于标准数据采集与监视控制(SCADA)数据协同的风力机故障检测与控制方案。介绍了风力发电机的系统模型与SCADA解决方案框架,通过回归建模、异常分析和集成学习对风力发电机系统进行故障检测并获得健康指标;借助模糊逻辑控制对风力发电机的输出功率进行降额控制,从而实现风力发电机在齿轮箱故障工况下的容错控制运行,最后进行仿真实验,并将仿真结果与一个实际运行的2 MW风力发电机系统进行对比。实验结果表明:该故障检测与容错控制方案可以有效地对齿轮箱进行故障检测,并在存在故障时适当对风力发电机的输出功率进行降额控制,从而降低叶片和塔架承受的应力,并有效降低了齿轮箱轴承和润滑油的温度。

In order to detect the fault of the gearbox safely and reliably without stopping the machine,and realize the fault-tolerant control operation of the wind turbine under the gearbox fault condition,a design scheme for fault detection and fault-tolerant control of the wind turbine gearbox was proposed based on the supervisory control and data acquisition(SCADA)data collaboration.The system model and SCADA solution framework of the wind turbine were introduced.The fault detection and health indicators of the wind turbine system were obtained through regression modeling,exception analysis and integrated learning.Then,the output power of the wind turbine was derated using fuzzy logic control,so as to achieve fault tolerant control operation of the wind turbine under gearbox fault conditions.Finally,the simulation was performed,and the results were compared with an actual 2 MW wind turbine system.The experimental results show that the fault detection and fault-tolerant control scheme can effectively realize the fault detection of the gearbox,and deration control to the output power of the wind turbine is performed with fault,so as to reduce the bearing stress of the blade and tower,and the temperature of the gear box bearing and lubricating oil are effectively reduced.