Phasor estimation for power quality monitoring: Least square versus Kalman filter

This paper provides a comparative evaluation of phasor estimation signal processing tools, namely the least square estimator and the linear Kalman filter. Comparative investigations are carried out using simulated signals for a power grid voltage sag disturbance. For both techniques, the fundamental...

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Bibliographic Details
Published inIECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society pp. 4339 - 4343
Main Authors Amirat, Yassine, Oubrahim, Zakarya, Feld, Gilles, Benbouzid, Mohamed
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2017
Subjects
Estimation
Harmonic analysis
Kalman filter Estimation (KF)
Kalman filters
Least Square Estimation (LSE)
Phasor estimation
Power grid
Power grids
Power quality
power quality (PQ)
Power system harmonics
Transient analysis
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Summary:This paper provides a comparative evaluation of phasor estimation signal processing tools, namely the least square estimator and the linear Kalman filter. Comparative investigations are carried out using simulated signals for a power grid voltage sag disturbance. For both techniques, the fundamental frequency is assumed known, hence the estimated phasor parameters are amplitude and initial phase. Simulation results are provided to highlight each technique suitability and limitations to estimate the phasor for power quality monitoring.
DOI:10.1109/IECON.2017.8216746