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Robust dynamic state estimation of power systems based onM-Estimation and realistic modeling of system dynamics

机译:基于估计和系统动力学逼真的建模的电力系统鲁棒动态状态估计

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摘要

This paper presents a new scheme of dynamic state estimation,nutilizing a statistical approach called the M-Estimation to resolve thenfiltering problem robustly. In the prediction step, realistic treatmentnof system dynamics based on nodal analysis produces an efficient statenprediction method. The proposed Robust Realistic Dynamic StatenEstimation (RRDSE) has been tested on 5-bus, 14-bus, and 30-bus testnsystems and the results are presented. The error analysis presentednreveals the superiority of the proposed RRDSE particularly when thensystem measurements are under bad-data condition
机译:本文提出了一种动态状态估计的新方案,它利用一种称为M-Estimation的统计方法来稳健地解决然后过滤的问题。在预测步骤中,基于节点分析的系统动力学的现实处理产生了一种有效的状态预测方法。拟议的鲁棒现实动态状态估计(RRDSE)已在5总线,14总线和30总线测试系统上进行了测试,并给出了结果。所提供的误差分析无法证明所提出的RRDSE的优越性,特别是在系统测量处于不良数据条件下的情况下

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