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Real-time fault-voltage estimation for nonlinear dynamic power systems

机译:非线性动态电力系统的实时故障电压估计

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This paper investigates a relevant observer based on fault estimation of nonlinear systems described by a class of differential-algebraic equation models using the extended Kalman filter. The method involves the use of a transformation from a differential-algebraic equation to ordinary differential equation. Two nonlinear observers are used for fault estimation for comparison purposes: one of them is being an extended Kalman filter used as an estimator, and the other is a relevant state observer with moving horizon with a study of convergence based on the choice of the matrix of covariance of the noises of system and measurements. High performances are illustrated through a real-time application on 5-bus test system with Digital Signal Processing device (Dspace DS 1104). Copyright (c) 2015 John Wiley & Sons, Ltd.
机译:本文研究了基于非线性系统故障估计的相关观察者,该非线性系统由一类使用扩展卡尔曼滤波器的微分代数方程模型描述。该方法涉及使用从微分代数方程到常微分方程的转换。为了进行比较,使用了两个非线性观测器进行故障估计:其中一个是作为估计器的扩展卡尔曼滤波器,另一个是具有可移动视野的相关状态观测器,并根据对矩阵的选择来研究收敛性。系统和测量噪声的协方差。通过在具有数字信号处理设备(Dspace DS 1104)的5总线测试系统上的实时应用来说明高性能。版权所有(c)2015 John Wiley&Sons,Ltd.

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