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.
Fa ult-Tolerant Placement of Phasor Measurement Units and Communication Infrastructure in SDN -Enabled Wide -Area Monitoring Systems,
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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.