Tracking Electromechanical Oscillations: An Enhanced Maximum-Likelihood Based Approach

• Published in: IEEE transactions on power systems Vol. 31; no. 3; pp. 1799 - 1808
• Main Authors: Khalid, Haris M., Peng, Jimmy C.-H
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Augmented Lagrangian; Convergence; Correlation; distributed estimation; inter-area oscillation modes; Kalman filters; Maximum likelihood estimation; maximum-likelihood; Monte Carlo simulation; Noise; oscillations; Oscillators; phasor measurement unit (PMU); power system monitoring; power system stability; real-time measurements; situational awareness; synchrophasor measurement; wide-area monitoring system (WAMS)

Lightly damped electromechanical oscillations are major operating concerns if failed to be detected at an early stage. This paper improved the existing extended complex Kalman filter (ECKF) technique of tracking electromechanical oscillations using synchrophasor measurements. The proposed algorithm...