Robust power system state estimation using t-distribution noise model

In this paper, we propose an optimal robust state estimator using maximum likelihood optimization with the $t$ -distribution noise model. In robust statistics literature, the $t$ -distribution is used to model Gaussian and non-Gaussian statistics. The influence function, an analytical tool in robust...

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Main Authors: Chen, Tengpeng, Sun, Lu, Ling, Keck-Voon, Ho, Weng Khuen
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2020
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在線閱讀:https://hdl.handle.net/10356/137155
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