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Detection of voltage sag using unscented Kalman smoother

机译:使用无味卡尔曼平滑器检测电压骤降

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A novel method based on Kalman algorithm is proposed in this paper to estimate the amplitude and the time duration of voltage sag in power systems. The new method uses the unscented transform and the RTS algorithm to have a smoother and optimal tracking response. A nonlinear model of the system is developed and the mathematics of the method is derived for a supposed power signal. The algorithm is simulated in MATLAB with the assumption of a measured voltage with low-order harmonics and in presence of a noise with SNR of 10. Simulation results show that the proposed method performs with a smooth, fast dynamic and tracking response in present of noise and harmonics. The accuracy of the method is also better in comparison with other Kalman based algorithms.
机译:提出了一种基于卡尔曼算法的新方法,用于估计电力系统中电压暂降的幅度和持续时间。新方法使用无味变换和RTS算法来获得更平滑和最佳的跟踪响应。建立了系统的非线性模型,并针对假定的功率信号推导了该方法的数学模型。该算法在MATLAB上进行了仿真,假设所测电压具有低阶谐波,并且存在SNR为10的噪声。仿真结果表明,该方法在存在噪声的情况下具有平稳,快速的动态和跟踪响应性能和谐波。与其他基于Kalman的算法相比,该方法的准确性也更高。

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