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On the Long-Period Accuracy Behavior of Inductive and Low-Power Instrument Transformers

The accuracy evaluation of instrument transformers is always a key task when proper control and management of the power network is required. In particular, accuracy becomes a critical aspect when the grid or the instrumentation itself is operating at conditions different from the rated ones. However...

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Autores principales: Mingotti, Alessandro, Bartolomei, Lorenzo, Peretto, Lorenzo, Tinarelli, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602204/
https://www.ncbi.nlm.nih.gov/pubmed/33066570
http://dx.doi.org/10.3390/s20205810
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author Mingotti, Alessandro
Bartolomei, Lorenzo
Peretto, Lorenzo
Tinarelli, Roberto
author_facet Mingotti, Alessandro
Bartolomei, Lorenzo
Peretto, Lorenzo
Tinarelli, Roberto
author_sort Mingotti, Alessandro
collection PubMed
description The accuracy evaluation of instrument transformers is always a key task when proper control and management of the power network is required. In particular, accuracy becomes a critical aspect when the grid or the instrumentation itself is operating at conditions different from the rated ones. However, before focusing on the above non-rated conditions, it is important to fully understand the instrument transformer behavior at rated conditions. To this end, this work analyzed the accuracy behavior of legacy, inductive, and low-power voltage transformers over long periods of time. The aim was to find patterns and correlations that may be of help during the modelling or the output prediction of voltage transformers. From the results, the main differences between low-power and inductive voltage transformers were pointed out and described in detail.
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spelling pubmed-76022042020-11-01 On the Long-Period Accuracy Behavior of Inductive and Low-Power Instrument Transformers Mingotti, Alessandro Bartolomei, Lorenzo Peretto, Lorenzo Tinarelli, Roberto Sensors (Basel) Letter The accuracy evaluation of instrument transformers is always a key task when proper control and management of the power network is required. In particular, accuracy becomes a critical aspect when the grid or the instrumentation itself is operating at conditions different from the rated ones. However, before focusing on the above non-rated conditions, it is important to fully understand the instrument transformer behavior at rated conditions. To this end, this work analyzed the accuracy behavior of legacy, inductive, and low-power voltage transformers over long periods of time. The aim was to find patterns and correlations that may be of help during the modelling or the output prediction of voltage transformers. From the results, the main differences between low-power and inductive voltage transformers were pointed out and described in detail. MDPI 2020-10-14 /pmc/articles/PMC7602204/ /pubmed/33066570 http://dx.doi.org/10.3390/s20205810 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Letter
Mingotti, Alessandro
Bartolomei, Lorenzo
Peretto, Lorenzo
Tinarelli, Roberto
On the Long-Period Accuracy Behavior of Inductive and Low-Power Instrument Transformers
title On the Long-Period Accuracy Behavior of Inductive and Low-Power Instrument Transformers
title_full On the Long-Period Accuracy Behavior of Inductive and Low-Power Instrument Transformers
title_fullStr On the Long-Period Accuracy Behavior of Inductive and Low-Power Instrument Transformers
title_full_unstemmed On the Long-Period Accuracy Behavior of Inductive and Low-Power Instrument Transformers
title_short On the Long-Period Accuracy Behavior of Inductive and Low-Power Instrument Transformers
title_sort on the long-period accuracy behavior of inductive and low-power instrument transformers
topic Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602204/
https://www.ncbi.nlm.nih.gov/pubmed/33066570
http://dx.doi.org/10.3390/s20205810
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