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Condition monitoring of wind turbine induction generators with rotor electrical asymmetry

机译:转子不对称的风力发电机感应发电机状态监测

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This study investigates the condition monitoring of wind turbine wound rotor and doubly fed induction generators with rotor electrical asymmetries by analysis of stator current and total power spectra. The research is verified using experimental data measured on two different test rigs and numerical predictions obtained from a time-stepping electromagnetic model. A steadystate study of current and power spectra for healthy and faulty conditions is performed to identify fault-specific signal changes and consistent slip-dependent fault-indicators on both test rigs. To enable real-time fault frequency tracking, a set of concise analytical expressions, describing fault frequency variation with operating speed, were defined and validated by measurement. A variable speed study, representative of real wind turbine operations, of current and power frequency components for healthy and faulty conditions was then carried out on one test rig, which could simulate wind conditions. The current and power fault frequency tracking previously identified achieved reliable fault detection for two realistic wind turbine generator fault scenarios of differing severity. Conclusions are drawn on the relative merits of current and power signal analysis when used for wind turbine wound rotor induction machine fault detection and diagnosis.
机译:本研究通过分析定子电流和总功率谱,研究了带有转子电不对称性的风力发电机绕线转子和双馈感应发电机的状态监测。使用在两个不同的试验台上测得的实验数据以及从时步电磁模型获得的数值预测来验证该研究。进行了针对健康状况和故障状况的电流和功率谱的稳态研究,以识别两种测试台架上特定于故障的信号变化和一致的滑差相关的故障指示符。为了实现实时故障频率跟踪,定义了一组简洁的分析表达式,描述了故障频率随操作速度的变化,并通过测量进行了验证。然后在一个可以模拟风况的试验台上进行了代表健康风力发电机和故障频率的电流和功率频率分量的代表真实风力涡轮机运行的变速研究。先前确定的电流和功率故障频率跟踪针对两种严重性不同的现实风力发电机故障场景实现了可靠的故障检测。总结了用于风力发电机绕线转子感应电机故障检测和诊断时电流和功率信号分析的相对优点。

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