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A Closed-form Expression to Estimate the Uncertainty of THD Starting from the LPIT Accuracy Class

Power quality is a wide-ranging and current topic that involves a huge effort from the scientific community. Power quality issues have to be avoided or solved in order to preserve the integrity of the network and its assets. To this purpose, several power quality indexes and measurement techniques h...

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Detalles Bibliográficos
Autores principales: Mingotti, Alessandro, 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/PMC7146616/
https://www.ncbi.nlm.nih.gov/pubmed/32214049
http://dx.doi.org/10.3390/s20061804
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author Mingotti, Alessandro
Peretto, Lorenzo
Tinarelli, Roberto
author_facet Mingotti, Alessandro
Peretto, Lorenzo
Tinarelli, Roberto
author_sort Mingotti, Alessandro
collection PubMed
description Power quality is a wide-ranging and current topic that involves a huge effort from the scientific community. Power quality issues have to be avoided or solved in order to preserve the integrity of the network and its assets. To this purpose, several power quality indexes and measurement techniques have been developed and used by experts. This paper aims at solving the issue of having an uncertainty associated to the total harmonic distortion (THD) measurements. The idea is to obtain a close-form expression, which only requires the knowledge of the instrument transformer accuracy class, to estimate the mean value and the variance of THD. After the development of such an expression, it has been tested and stressed to confirm its effectiveness and applicability in a variety of conditions, and for harmonics up to 25(th) (of 50 Hz), defined by the standards.
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spelling pubmed-71466162020-04-20 A Closed-form Expression to Estimate the Uncertainty of THD Starting from the LPIT Accuracy Class Mingotti, Alessandro Peretto, Lorenzo Tinarelli, Roberto Sensors (Basel) Article Power quality is a wide-ranging and current topic that involves a huge effort from the scientific community. Power quality issues have to be avoided or solved in order to preserve the integrity of the network and its assets. To this purpose, several power quality indexes and measurement techniques have been developed and used by experts. This paper aims at solving the issue of having an uncertainty associated to the total harmonic distortion (THD) measurements. The idea is to obtain a close-form expression, which only requires the knowledge of the instrument transformer accuracy class, to estimate the mean value and the variance of THD. After the development of such an expression, it has been tested and stressed to confirm its effectiveness and applicability in a variety of conditions, and for harmonics up to 25(th) (of 50 Hz), defined by the standards. MDPI 2020-03-24 /pmc/articles/PMC7146616/ /pubmed/32214049 http://dx.doi.org/10.3390/s20061804 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 Article
Mingotti, Alessandro
Peretto, Lorenzo
Tinarelli, Roberto
A Closed-form Expression to Estimate the Uncertainty of THD Starting from the LPIT Accuracy Class
title A Closed-form Expression to Estimate the Uncertainty of THD Starting from the LPIT Accuracy Class
title_full A Closed-form Expression to Estimate the Uncertainty of THD Starting from the LPIT Accuracy Class
title_fullStr A Closed-form Expression to Estimate the Uncertainty of THD Starting from the LPIT Accuracy Class
title_full_unstemmed A Closed-form Expression to Estimate the Uncertainty of THD Starting from the LPIT Accuracy Class
title_short A Closed-form Expression to Estimate the Uncertainty of THD Starting from the LPIT Accuracy Class
title_sort closed-form expression to estimate the uncertainty of thd starting from the lpit accuracy class
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146616/
https://www.ncbi.nlm.nih.gov/pubmed/32214049
http://dx.doi.org/10.3390/s20061804
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