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Fundamental frequency sequence amplitude estimator for power and energy applications
A grid-synchronization-based fundamental frequency positive-sequence (FFPS) and negative-sequence (FFNS) amplitudes estimation technique is proposed for unbalanced and distorted grid. In this technique, the sequence amplitudes are extracted by extracting the phase-angle of the FFPS and FFNS componen...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9342759/ https://www.ncbi.nlm.nih.gov/pubmed/35913914 http://dx.doi.org/10.1371/journal.pone.0270851 |
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author | Ahmed, Hafiz Tir, Zoheir Biricik, Samet Benbouzid, Mohamed |
author_facet | Ahmed, Hafiz Tir, Zoheir Biricik, Samet Benbouzid, Mohamed |
author_sort | Ahmed, Hafiz |
collection | PubMed |
description | A grid-synchronization-based fundamental frequency positive-sequence (FFPS) and negative-sequence (FFNS) amplitudes estimation technique is proposed for unbalanced and distorted grid. In this technique, the sequence amplitudes are extracted by extracting the phase-angle of the FFPS and FFNS components. The extracted phase-angles have DC and double frequency AC components. The AC component is filtered out by using a Moving Average Filter (MAF) of appropriate window length. From the extracted phase-angle, the unknown frequency can be estimated by using a suitable controller. A frequency-fixed equidistant samples-based pre-loop filter is also applied to eliminate the effect of measurement offset. The proposed technique has a very simple structure and is easy to tune. Small-signal modeling-based stability analysis and gain tuning procedure are also provided. The proposed technique strikes a good balance between fast convergence and disturbance rejection capability. Comparative numerical simulation and experimental results with similar other techniques demonstrate the suitability and performance enhancement by the proposed technique. |
format | Online Article Text |
id | pubmed-9342759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-93427592022-08-02 Fundamental frequency sequence amplitude estimator for power and energy applications Ahmed, Hafiz Tir, Zoheir Biricik, Samet Benbouzid, Mohamed PLoS One Research Article A grid-synchronization-based fundamental frequency positive-sequence (FFPS) and negative-sequence (FFNS) amplitudes estimation technique is proposed for unbalanced and distorted grid. In this technique, the sequence amplitudes are extracted by extracting the phase-angle of the FFPS and FFNS components. The extracted phase-angles have DC and double frequency AC components. The AC component is filtered out by using a Moving Average Filter (MAF) of appropriate window length. From the extracted phase-angle, the unknown frequency can be estimated by using a suitable controller. A frequency-fixed equidistant samples-based pre-loop filter is also applied to eliminate the effect of measurement offset. The proposed technique has a very simple structure and is easy to tune. Small-signal modeling-based stability analysis and gain tuning procedure are also provided. The proposed technique strikes a good balance between fast convergence and disturbance rejection capability. Comparative numerical simulation and experimental results with similar other techniques demonstrate the suitability and performance enhancement by the proposed technique. Public Library of Science 2022-08-01 /pmc/articles/PMC9342759/ /pubmed/35913914 http://dx.doi.org/10.1371/journal.pone.0270851 Text en © 2022 Ahmed et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Ahmed, Hafiz Tir, Zoheir Biricik, Samet Benbouzid, Mohamed Fundamental frequency sequence amplitude estimator for power and energy applications |
title | Fundamental frequency sequence amplitude estimator for power and energy applications |
title_full | Fundamental frequency sequence amplitude estimator for power and energy applications |
title_fullStr | Fundamental frequency sequence amplitude estimator for power and energy applications |
title_full_unstemmed | Fundamental frequency sequence amplitude estimator for power and energy applications |
title_short | Fundamental frequency sequence amplitude estimator for power and energy applications |
title_sort | fundamental frequency sequence amplitude estimator for power and energy applications |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9342759/ https://www.ncbi.nlm.nih.gov/pubmed/35913914 http://dx.doi.org/10.1371/journal.pone.0270851 |
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