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    基于多特征参数耦合的风电机组性能评估

    Performance Evaluation of Wind Turbine Based on Multi-feature Parameter Coupling

    • 摘要: 当前风力发电机组性能评估系统的研究多是对单一设备或基于简单状态特征参数的设备进行评价,对于复杂系统的多特征参数状态综合评价系统较少。为提升风电机组性能评估效率,将新研叶片、塔筒监测数据与机组数据采集与监视控制系统(SCADA)数据进行耦合分析,对风电机组进行综合分析评估,建立风电机组性能评估模型,该模型包括机组扭矩(载荷)控制水平、安全链触发复核、最大功率控制逻辑评估、风速仪故障监测等模块。结果表明:所建模型可以有效评估风电机组的性能,具有一定的工程应用价值。

       

      Abstract: Current research on wind turbine performance evaluation systems primarily focuses on evaluation for individual equipment or equipment based on simple state characteristic parameters. However, comprehensive evaluation systems for complex systems based on multi-feature parameters remain scarce. To enhance the efficiency of wind turbine performance evaluation, the monitoring data from newly developed blades and towers were coupled with the supervisory control and data acquisition (SCADA) system data for comprehensive analysis. A wind turbine performance evaluation model was established, which incorporated several modules: unit torque (load) control level, safety chain trigger review, maximum power control logic evaluation, and anemometer fault monitoring. The results indicate that the proposed model can effectively evaluate wind turbine performance and demonstrate definite engineering application value.

       

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