Extracting steady state harmonic components from synchrophasor data: Comparison among recursive filtering methods

Extracting steady state harmonic components from synchrophasor data: Comparison among recursive filtering methods

This paper aims to evaluate the effectiveness of recursive filtering techniques in order to increase the accuracy of synchronized harmonic data provided by PMUs (Phasor Measurement Units). The recursive filters are known by their capability of reducing noise, compensating for missing data and filter...

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Bibliographic Details
Published in:2016 12th IEEE International Conference on Industry Applications (INDUSCON) pp. 1 - 8
Main Authors: Delgado de Melo, Igor, Pereira, Jose Luiz Rezende, Variz Federal, Abilio Manuel
Format: Conference Proceeding
Language:English
Published: IEEE 01-11-2016
Subjects:
Current measurement
Harmonic analysis
Measurement errors
Measurement uncertainty
Phasor measurement units
Power harmonic filters
Time measurement
Online Access:Get full text
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Summary:This paper aims to evaluate the effectiveness of recursive filtering techniques in order to increase the accuracy of synchronized harmonic data provided by PMUs (Phasor Measurement Units). The recursive filters are known by their capability of reducing noise, compensating for missing data and filtering outliers from PMU input signals for real-time data processing. In this work, the moving average, the first order low-pass and Kalman filters are compared and their advantages and potentialities are discussed considering a performance analysis of these recursive filtering techniques for PMU data signals.
DOI:10.1109/INDUSCON.2016.7874574