Title :
Joint Frequency and Phasor Estimation Under the KCL Constraint
Author :
Routtenberg, T. ; Lang Tong
Author_Institution :
Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
Abstract :
In this letter, we consider the problem of joint off-nominal frequency and phasor estimation that incorporates Kirchhoff´s Current Law (KCL) as a constraint. We develop the constrained maximum likelihood (CML) and constrained weighted least-squares (CWLS) estimators for this problem and derive the corresponding constrained Cramér-Rao bound. The KCL constraint is shown to behave as a noise cancellation factor for the phasors estimation. We show that the KCL CML is based on the classical periodogram subtracting the average current periodogram. The results indicate significant performance improvement compared to the unconstrained maximum likelihood (ML) and unconstrained weighted least-squares (WLS).
Keywords :
least squares approximations; maximum likelihood estimation; phasor measurement; CML; CWLS estimator; Cramer-Rao bound; KCL; KCL constraint; Kirchhoff current law; classical periodogram; constrained maximum likelihood; constrained weighted least-squares estimators; joint off-nominal frequency; noise cancellation factor; phasor estimation; Current measurement; Frequency estimation; Maximum likelihood estimation; Phasor measurement units; Power systems; Voltage measurement; Constrained Cramér–Rao bound; constrained maximum likelihood estimation; frequency estimation; phasor measurement unit (PMU); power system state estimation;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2013.2256348