Covariance management based RLS algorithm for phasor estimation in severely noisy systems

• Published in: IEEE transactions on power delivery Vol. 13; no. 4; pp. 1067 - 1072
• Main Authors: De Almeida, L.A.L., Lima, A.C. de C.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.10.1998; Institute of Electrical and Electronics Engineers
• Subjects: Adaptative systems; Applied sciences; Computer science; control theory; systems; Connection and protection apparatus; Control theory. Systems; Covariance matrix; Digital relays; Disturbances. Regulation. Protection; Electrical engineering. Electrical power engineering; Electrical power engineering; Exact sciences and technology; Least squares approximation; Power networks and lines; Power system dynamics; Power system harmonics; Power system management; Power system relaying; Recursive estimation; Resonance light scattering; Voltage; Covariance; Noise; Least squares method; Prediction; Management; Experimental study; Recursive algorithm; Adaptive method; Digital relay
• ISSN: 0885-8977; 1937-4208
• DOI: 10.1109/61.714457

This paper presents a new algorithm, derived from the recursive least squares (RLS), to estimate power system voltage and current harmonics for digital relay purposes. The algorithm is based on the RLS covariance matrix management, by making use of the covariance resetting in a different way. The approach provides a kind of attractor that absorbs all nonmodeled dynamics. In order to demonstrate its effectiveness, the proposed algorithm is applied to simulated signals and its performance is compared with other conventional methods.