Adaptive Taylor-Fourier synchrophasor estimation for fast response to changing conditions

Castello, Paolo; Lixia, Marco

doi:10.1109/i2mtc.2012.6229532

Cited by 27 publications

(16 citation statements)

References 6 publications

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“…Many of the presented PMU algorithms in academic literature avoid the issue of the OOB test, and present algorithms using windows which are too short to provide sufficient broadband stopband attenuation to pass the OOB test in C37.118.1 or C37.118.1a. For example, "Least Squares" [6] or "Taylor Fourier Transform" (TFT) [7] [8], and "Interpolated DFT (iDFT)" [9] [10] approaches have all recently been proposed. These algorithms all use fixed-filter approaches and generally suffer from degraded performance as frequency deviates from nominal, though iDFT methods aim to significantly reduce the degradation over a limited frequency range.…”

Section: Candidate Algorithm Designsmentioning

confidence: 99%

Filter Design Masks for C37.118.1a-Compliant Frequency-Tracking and Fixed-Filter M-Class Phasor Measurement Units

Roscoe

Dickerson²,

Martin

2015

IEEE Trans. Instrum. Meas.

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The new amendment to the Phasor Measurement Unit (PMU) standard C37.118.1a makes several significant changes, compared to the standard C37.118.1 (2011). This paper highlights some of the most important changes, with a particular emphasis applied to how those changes relate to the way that an M-class PMU filter needs to be designed. In particular, there is a delicate trade-off between passband flatness (the bandwidth test) and stopband rejection in the Out-Of-Band (OOB) test. For a PMU algorithm using frequency-tracking and adaptive filters, it is shown that passband flatness can be relaxed to about 2.5dB, but that the stopband needs to begin up to 14.8% closer to 0 Hz than for a fixed-filter PMU. This is partly due to the exact procedures of the C37.118.1a "OOB" testing, and partly due to the adaptive nature of a frequency-tracking PMU filter section. Both the above lead to modified filter masks being required for frequency-tracking devices, compared to the mask required for fixed-filter devices. The M-class PMU with reporting rate 25Hz is the most difficult to design, for reasons given in this paper. The validity of the masks is shown using filter bode plots and simulated C37.118.1a test results of a fixed-filter and frequencytracking device which have been designed to meet the masks defined in this paper.

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Section: Candidate Algorithm Designsmentioning

confidence: 99%

Filter Design Masks for C37.118.1a-Compliant Frequency-Tracking and Fixed-Filter M-Class Phasor Measurement Units

Roscoe

Dickerson²,

Martin

2015

IEEE Trans. Instrum. Meas.

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“…As investigated in [8], the TFT-WLS algorithm provides very good performance in all the conditions except under step tests. In order to overcome this issue, an adaptive version of the TFT-WLS, which detects when the signal is undergoing fast changes and, then, refines phasor estimation, has been proposed in [9] and [10] to enhance the performance under transient conditions. Based on this approach, the PMU proposed in [11] is simultaneously compliant with P-class and M-class requirements for synchrophasor and frequency measurements.…”

Section: Introductionmentioning

confidence: 99%

Experimental characterization of dynamic methods for synchrophasor measurements

Castello

Sulis

Toscani

2014

2014 IEEE International Workshop on Applied Measurements for Power Systems Proceedings (AMPS)

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This paper presents the results of an experimental characterization performed to assess the accuracy of custom algorithms developed for Phasor Measurement Units (PMUs). In particular, some of the most recent and efficient methodologies used for synchrophasors estimation under dynamic conditions are considered. The techniques are implemented in a modular measurement platform and are validated by means of test signals under both static and dynamic conditions defined in IEEE Standard C37.118.1. The comparison of the results obtained by means of simulations with those resulting from experimental tests is also reported in order to evaluate the impact of possible measurement hardware on the overall PMU accuracy

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“…Some used fixed filters which remain centred on the nominal frequency. Such algorithms include the "C37.118.1a Reference", "Least Squares" [3] or "Taylor Fourier Transform" [4], and the "Interpolated DFT" [5] approaches. These approaches generally suffer from degraded performance as frequency deviates from nominal.…”

Section: Candidate Algorithm Designsmentioning

confidence: 99%

The amended standard C37.118.1a and its implications for frequency-tracking m-class Phasor Measurement Units (PMUs)

Roscoe

Dickerson²,

Martin³

2014

2014 IEEE International Workshop on Applied Measurements for Power Systems Proceedings (AMPS)

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This version is available at https://strathprints.strath.ac.uk/50178/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.Any correspondence concerning this service should be sent to the Abstract-The new amendment to the Phasor Measurement Unit (PMU) standard C37.118.1a makes several significant changes, compared to the standard C37.118.1 (2011). This paper highlights some of the most important changes, with a particular emphasis applied to how those changes relate to the way that a frequency-tracking PMU (Phasor Measurement Unit) algorithm needs to be designed. In particular, there is a delicate trade-off between passband flatness (the bandwidth test) and stopband rejection in the Out-Of-Band (OOB) test. For a PMU algorithm using frequency-tracking and adaptive filters, it is shown that passband flatness can be relaxed to about 2.5dB, but that the stopband needs to begin up to 14.8% closer to 0 Hz than for a fixed-filter PMU. This is partly due to the exact procedures of the C37.118.1a "OOB" testing, and partly due to the adaptive nature of a frequency-tracking PMU filter section.

show abstract

Adaptive Taylor-Fourier synchrophasor estimation for fast response to changing conditions

Cited by 27 publications

References 6 publications

Filter Design Masks for C37.118.1a-Compliant Frequency-Tracking and Fixed-Filter M-Class Phasor Measurement Units

Filter Design Masks for C37.118.1a-Compliant Frequency-Tracking and Fixed-Filter M-Class Phasor Measurement Units

Experimental characterization of dynamic methods for synchrophasor measurements

The amended standard C37.118.1a and its implications for frequency-tracking m-class Phasor Measurement Units (PMUs)

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