Cargando…
Are Inductive Current Transformers Performance Really Affected by Actual Distorted Network Conditions? An Experimental Case Study
The aim of this work is to assess whether actual distorted conditions of the network are really affecting the accuracy of inductive current transformers. The study started from the need to evaluate the accuracy performance of inductive current transformers in off-nominal conditions, and to improve t...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038959/ https://www.ncbi.nlm.nih.gov/pubmed/32050568 http://dx.doi.org/10.3390/s20030927 |
_version_ | 1783500737774354432 |
---|---|
author | Mingotti, Alessandro Peretto, Lorenzo Bartolomei, Lorenzo Cavaliere, Diego Tinarelli, Roberto |
author_facet | Mingotti, Alessandro Peretto, Lorenzo Bartolomei, Lorenzo Cavaliere, Diego Tinarelli, Roberto |
author_sort | Mingotti, Alessandro |
collection | PubMed |
description | The aim of this work is to assess whether actual distorted conditions of the network are really affecting the accuracy of inductive current transformers. The study started from the need to evaluate the accuracy performance of inductive current transformers in off-nominal conditions, and to improve the related standards. In fact, standards do not provide a uniform set of distorted waveforms to be applied on inductive or low-power instrument transformers. Moreover, there is no agreement yet, among the experts, about how to evaluate the uncertainty of the instrument transformer when the operating conditions are different from the rated ones. To this purpose, the authors collected currents from the power network and injected them into two off-the-shelf current transformers. Then, their accuracy performances have been evaluated by means of the well-known composite error index and an approximated version of it. The obtained results show that under realistic non-rated conditions of the network, the tested transformers show a very good behavior considering their nonlinear nature, arising the question in the title. A secondary result is that the use of the composite error should be more and more supported by the standards, considering its effectiveness in the accuracy evaluation of instrument transformers for measuring purposes. |
format | Online Article Text |
id | pubmed-7038959 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70389592020-03-09 Are Inductive Current Transformers Performance Really Affected by Actual Distorted Network Conditions? An Experimental Case Study Mingotti, Alessandro Peretto, Lorenzo Bartolomei, Lorenzo Cavaliere, Diego Tinarelli, Roberto Sensors (Basel) Article The aim of this work is to assess whether actual distorted conditions of the network are really affecting the accuracy of inductive current transformers. The study started from the need to evaluate the accuracy performance of inductive current transformers in off-nominal conditions, and to improve the related standards. In fact, standards do not provide a uniform set of distorted waveforms to be applied on inductive or low-power instrument transformers. Moreover, there is no agreement yet, among the experts, about how to evaluate the uncertainty of the instrument transformer when the operating conditions are different from the rated ones. To this purpose, the authors collected currents from the power network and injected them into two off-the-shelf current transformers. Then, their accuracy performances have been evaluated by means of the well-known composite error index and an approximated version of it. The obtained results show that under realistic non-rated conditions of the network, the tested transformers show a very good behavior considering their nonlinear nature, arising the question in the title. A secondary result is that the use of the composite error should be more and more supported by the standards, considering its effectiveness in the accuracy evaluation of instrument transformers for measuring purposes. MDPI 2020-02-10 /pmc/articles/PMC7038959/ /pubmed/32050568 http://dx.doi.org/10.3390/s20030927 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 Bartolomei, Lorenzo Cavaliere, Diego Tinarelli, Roberto Are Inductive Current Transformers Performance Really Affected by Actual Distorted Network Conditions? An Experimental Case Study |
title | Are Inductive Current Transformers Performance Really Affected by Actual Distorted Network Conditions? An Experimental Case Study |
title_full | Are Inductive Current Transformers Performance Really Affected by Actual Distorted Network Conditions? An Experimental Case Study |
title_fullStr | Are Inductive Current Transformers Performance Really Affected by Actual Distorted Network Conditions? An Experimental Case Study |
title_full_unstemmed | Are Inductive Current Transformers Performance Really Affected by Actual Distorted Network Conditions? An Experimental Case Study |
title_short | Are Inductive Current Transformers Performance Really Affected by Actual Distorted Network Conditions? An Experimental Case Study |
title_sort | are inductive current transformers performance really affected by actual distorted network conditions? an experimental case study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038959/ https://www.ncbi.nlm.nih.gov/pubmed/32050568 http://dx.doi.org/10.3390/s20030927 |
work_keys_str_mv | AT mingottialessandro areinductivecurrenttransformersperformancereallyaffectedbyactualdistortednetworkconditionsanexperimentalcasestudy AT perettolorenzo areinductivecurrenttransformersperformancereallyaffectedbyactualdistortednetworkconditionsanexperimentalcasestudy AT bartolomeilorenzo areinductivecurrenttransformersperformancereallyaffectedbyactualdistortednetworkconditionsanexperimentalcasestudy AT cavalierediego areinductivecurrenttransformersperformancereallyaffectedbyactualdistortednetworkconditionsanexperimentalcasestudy AT tinarelliroberto areinductivecurrenttransformersperformancereallyaffectedbyactualdistortednetworkconditionsanexperimentalcasestudy |