Tirza Routtenberg

Senior Academic

Joint frequency and phasor estimation under the KCL constraint

Tirza Routtenberg, Lang Tong

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).

Publication language English
Pages 575-578
Journal IEEE Signal Processing Letters
Volume 20
Issue number 6
Publication status Published - 20.05.2013
6493393

Keywords

Constrained Cramér-Rao bound
constrained maximum likelihood estimation
frequency estimation
phasor measurement unit (PMU)
power system state estimation

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics
Access to Document
10.1109/LSP.2013.2256348
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Link to publication in Scopus