Robust power system state estimation using t-distribution noise model

• Main Authors: Chen, Tengpeng, Sun, Lu, Ling, Keck-Voon, Ho, Weng Khuen
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: DRNTU::Engineering::Electrical and electronic engineering; Influence Function (IF); Maximum Likelihood Estimation (MLE)
• Online Access: https://hdl.handle.net/10356/137155
• Institution: Nanyang Technological University

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...