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Leverage Point Identification Method for LAV-Based State Estimation
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DOI：10.1109/TIM.2021.3094634.png)
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摘要
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In this article we enunciate and rigorously demonstrate a new lemma which, based on a previously proposed theorem, proves the identifiability of leverage points in state estimation with specific reference to the least absolute value (LAV) estimator. In this context, we also propose an algorithm for the leverage point identification in LAV estimators whose performance is validated by means of extensive numerical simulations and compared against the well-known approach of projection statistics (PS). The obtained results confirm that the proposed method outperforms PS and represents a significant enhancement for LAV-based state estimators as it correctly identifies all the leverage points in the measurement set.
Keyword:
Bad data
least absolute value (LAV)
leverage points
measurement error
state estimation
system identification
期刊
IF:
5.9
论文数:
2.0W
被引数:
5.8W
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引用论文
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Dynamic State Estimation in Power System by Applying the Extended Kalman Filter With Unknown Inputs to Phasor Measurements通过将具有未知输入的扩展卡尔曼滤波器应用于相量测量来估计电力系统的动态状态
PREAI
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