Square-root-extended complex Kalman filter for estimation of symmetrical components in power system

Square-root-extended complex Kalman filter for estimation of symmetrical components in power system

The paper presents a square-root-extended complex Kalman filter (SRECKF) by decomposing covariance matrix with its square-root forms to improve stability of the filter for estimating complex number. αβ transformation is used to map three-phase instantaneous voltages in the abc phases into instantane...

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Bibliographic Details
Main Author: Bowen Cui
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:The Journal of Engineering
Subjects:
covariance matrices
Kalman filters
power system state estimation
matrix decomposition
nonlinear equations
vectors
square-root-extended complex Kalman filter
complex number
observation equation
three-phase voltages
complex vector
positive symmetrical component
negative symmetrical components
traditional extended complex Kalman filter
state variables
three-phase instantaneous voltages
covariance matrix decomposition
filter stability
αβ transformation
abc phases
αβ axes
nonlinear state equation
ECKF
convergence rate
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8642

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https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8642

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