A decentralized MGST-VBUKF algorithm is proposed that uses generalized Student's t correntropy, variational Bayesian noise modeling, and regional fusion to improve robustness in power system state estimation under non-Gaussian and unknown noise.
A Comparative Analysis on Wide-Area Power System Control with Mitigation the Effects of an Imperfect Medium,
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Decentralized Variational Bayesian UKF with Maximum Generalized Student's t-kernel Correntropy for Wide-Area Power System state estimation
A decentralized MGST-VBUKF algorithm is proposed that uses generalized Student's t correntropy, variational Bayesian noise modeling, and regional fusion to improve robustness in power system state estimation under non-Gaussian and unknown noise.