University of Cagliari
partially_open
Stefano Pisu
A Statistical Investigation of PMU Errors in Current Measurements
Castello, Paolo;Muscas, Carlo;Pegoraro, Paolo Attilio;Sulis, Sara
2023-01-01
Abstract
Phasor Measurement Units (PMUs) are becoming widespread in power systems monitoring. Applications relying on synchrophasor measurements ask for models of measurement er-rors that can be integrated to describe the uncertainty of the data. In this paper, an assessment of PMU magnitude and phase-angle errors for current measurements is performed for the first time with the aim to address error distributions. In particular, two commercial PMUs are statistically characterized in a controlled environment to prevent non-stationarity issues. It is proven that Gaussianity appears a valid assumption for magnitude errors of both PMUs, whereas phase-angle errors might be non-Gaussian in an accurate PMU when the contribution of synchronization mechanisms prevails.
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| File | Size | Format | |
|---|---|---|---|
| A_Statistical_Investigation_of_PMU_Errors_in_Current_Measurements.pdf Solo gestori archivio
Type: versione editoriale
Size 677.82 kB
Format Adobe PDF
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677.82 kB | Adobe PDF | & nbsp; View / Open Request a copy |
| 1570872774 post-print-cover.pdf open access
Type: Author’s Accepted Manuscript AAM, Post-print, (version accepted by the publisher)
Size 556.92 kB
Format Adobe PDF
|
556.92 kB | Adobe PDF | View/Open |
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