Cargando…
Low-Power Voltage Transformer Smart Frequency Modeling and Output Prediction up to 2.5 kHz, Using Sinc-Response Approach
The instrument transformers scenario is moving towards the adoption of a new generation of low-power instrument transformers. This disruptive change also requires that the modeling, characterization, and testing of those devices must be improved. Therefore, this study focuses on a smart approach dev...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506876/ https://www.ncbi.nlm.nih.gov/pubmed/32872432 http://dx.doi.org/10.3390/s20174889 |
_version_ | 1783585113533054976 |
---|---|
author | Ghaderi, Abbas Mingotti, Alessandro Peretto, Lorenzo Tinarelli, Roberto |
author_facet | Ghaderi, Abbas Mingotti, Alessandro Peretto, Lorenzo Tinarelli, Roberto |
author_sort | Ghaderi, Abbas |
collection | PubMed |
description | The instrument transformers scenario is moving towards the adoption of a new generation of low-power instrument transformers. This disruptive change also requires that the modeling, characterization, and testing of those devices must be improved. Therefore, this study focuses on a smart approach developed by the authors in a previous study to estimate the output of low-power voltage transformers (LPVT). The approach—which is based on a sort of modeling in the frequency domain (the so-called sinc-response)—allows obtaining the behavior of the LPVT at rated and distorted conditions. Experimental tests performed on off-the-shelf devices confirm the applicability and effectiveness of the proposed approach when estimating the output response of LPVTs. |
format | Online Article Text |
id | pubmed-7506876 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75068762020-09-26 Low-Power Voltage Transformer Smart Frequency Modeling and Output Prediction up to 2.5 kHz, Using Sinc-Response Approach Ghaderi, Abbas Mingotti, Alessandro Peretto, Lorenzo Tinarelli, Roberto Sensors (Basel) Article The instrument transformers scenario is moving towards the adoption of a new generation of low-power instrument transformers. This disruptive change also requires that the modeling, characterization, and testing of those devices must be improved. Therefore, this study focuses on a smart approach developed by the authors in a previous study to estimate the output of low-power voltage transformers (LPVT). The approach—which is based on a sort of modeling in the frequency domain (the so-called sinc-response)—allows obtaining the behavior of the LPVT at rated and distorted conditions. Experimental tests performed on off-the-shelf devices confirm the applicability and effectiveness of the proposed approach when estimating the output response of LPVTs. MDPI 2020-08-29 /pmc/articles/PMC7506876/ /pubmed/32872432 http://dx.doi.org/10.3390/s20174889 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 Ghaderi, Abbas Mingotti, Alessandro Peretto, Lorenzo Tinarelli, Roberto Low-Power Voltage Transformer Smart Frequency Modeling and Output Prediction up to 2.5 kHz, Using Sinc-Response Approach |
title | Low-Power Voltage Transformer Smart Frequency Modeling and Output Prediction up to 2.5 kHz, Using Sinc-Response Approach |
title_full | Low-Power Voltage Transformer Smart Frequency Modeling and Output Prediction up to 2.5 kHz, Using Sinc-Response Approach |
title_fullStr | Low-Power Voltage Transformer Smart Frequency Modeling and Output Prediction up to 2.5 kHz, Using Sinc-Response Approach |
title_full_unstemmed | Low-Power Voltage Transformer Smart Frequency Modeling and Output Prediction up to 2.5 kHz, Using Sinc-Response Approach |
title_short | Low-Power Voltage Transformer Smart Frequency Modeling and Output Prediction up to 2.5 kHz, Using Sinc-Response Approach |
title_sort | low-power voltage transformer smart frequency modeling and output prediction up to 2.5 khz, using sinc-response approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506876/ https://www.ncbi.nlm.nih.gov/pubmed/32872432 http://dx.doi.org/10.3390/s20174889 |
work_keys_str_mv | AT ghaderiabbas lowpowervoltagetransformersmartfrequencymodelingandoutputpredictionupto25khzusingsincresponseapproach AT mingottialessandro lowpowervoltagetransformersmartfrequencymodelingandoutputpredictionupto25khzusingsincresponseapproach AT perettolorenzo lowpowervoltagetransformersmartfrequencymodelingandoutputpredictionupto25khzusingsincresponseapproach AT tinarelliroberto lowpowervoltagetransformersmartfrequencymodelingandoutputpredictionupto25khzusingsincresponseapproach |