首页> 外文期刊>Iranian Journal of Science and Technology, Transactions of Electrical Engineering >Rotor Electrical Fault Detection of Wind Turbine Induction Generators Using an Unscented Kalman Filter
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Rotor Electrical Fault Detection of Wind Turbine Induction Generators Using an Unscented Kalman Filter

机译:使用无味卡尔曼滤波器的风力发电机感应发电机转子电气故障检测

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摘要

This paper presents a fault detection method for induction generators using an unscented Kalman filter. In some applications such as wind turbine energy conversion systems, the induction generators experience oscillations caused by wind speed variation; therefore, the fault detection method should be able to detect fault in the presence of these oscillations. On the other hand, the induction generator may operate in islanded mode of operation, the situation that does not happen in motor application. In the present paper, the type of fault is the rotor electrical asymmetry and the proposed method is able to detect the fault in both grid-connected and islanded modes of operation. Several scenarios are simulated, and the efficacy of the proposed technique is evaluated by means of simulation results. Moreover, experiments are performed to validate the ability of the proposed method.
机译:本文提出了一种使用无味卡尔曼滤波器的感应发电机故障检测方法。在某些应用中,例如风力发电机的能量转换系统,感应发电机会遇到由风速变化引起的振荡。因此,故障检测方法应该能够在存在这些振荡的情况下检测故障。另一方面,感应发电机可以孤岛运行模式运行,这种情况在电机应用中不会发生。在本文中,故障的类型是转子的电气不对称性,并且所提出的方法能够在并网和孤岛运行模式下检测故障。对几种情况进行了仿真,并通过仿真结果评估了所提出技术的有效性。此外,进行实验以验证所提出方法的能力。

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