Accurate Real-Time Estimation of Power System Transients Using Constrained Symmetric Strong Tracking Square-Root Cubature Kalman Filter

• Published in: IEEE access Vol. 7; pp. 165692 - 165709
• Main Authors: Pramanik, Meghabriti, Routray, Aurobinda, Mitra, Pabitra
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Cholesky triangular decomposition; Constraints; Covariance matrices; Covariance matrix; Damping; Estimation; fading factor (FF); inequality constraints; Kalman filters; logarithmic barrier function; Mathematical analysis; Matrix methods; Microprocessors; Nonlinear analysis; Nonlinear filters; Parameter estimation; Performance evaluation; power system transient; Real time; Real-time systems; Signal processing; Stability analysis; State vectors; strong tracking square-root cubature Kalman filter (STSCKF); Symmetry; Tracking; Transient analysis

The paper presents a fast and accurate algorithm for estimating four significant parameters (i.e., amplitude, frequency, phase angle, and damping factor) of a typical transient signal. The method can be connoted as the constrained symmetric strong tracking square-root cubature Kalman filter (CSSTSCK...