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Power Quality Disturbance Tracking Based on a Proprietary FPGA Sensor with GPS Synchronization

The study of power quality (PQ) has gained relevance over the years due to the increase in non-linear loads connected to the grid. Therefore, it is important to study the propagation of power quality disturbances (PQDs) to determine the propagation points in the grid, and their source of generation....

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Autores principales: Pardo-Zamora, Oscar N., Romero-Troncoso, Rene de J., Millan-Almaraz, Jesus R., Morinigo-Sotelo, Daniel, Osornio-Rios, Roque A., Antonino-Daviu, Jose A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8200956/
https://www.ncbi.nlm.nih.gov/pubmed/34198887
http://dx.doi.org/10.3390/s21113910
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author Pardo-Zamora, Oscar N.
Romero-Troncoso, Rene de J.
Millan-Almaraz, Jesus R.
Morinigo-Sotelo, Daniel
Osornio-Rios, Roque A.
Antonino-Daviu, Jose A.
author_facet Pardo-Zamora, Oscar N.
Romero-Troncoso, Rene de J.
Millan-Almaraz, Jesus R.
Morinigo-Sotelo, Daniel
Osornio-Rios, Roque A.
Antonino-Daviu, Jose A.
author_sort Pardo-Zamora, Oscar N.
collection PubMed
description The study of power quality (PQ) has gained relevance over the years due to the increase in non-linear loads connected to the grid. Therefore, it is important to study the propagation of power quality disturbances (PQDs) to determine the propagation points in the grid, and their source of generation. Some papers in the state of the art perform the analysis of punctual measurements of a limited number of PQDs, some of them using high-cost commercial equipment. The proposed method is based upon a developed proprietary system, composed of a data logger FPGA with GPS, that allows the performance of synchronized measurements merged with the full parameterized PQD model, allowing the detection and tracking of disturbances propagating through the grid using wavelet transform (WT), fast Fourier transform (FFT), Hilbert–Huang transform (HHT), genetic algorithms (GAs), and particle swarm optimization (PSO). Measurements have been performed in an industrial installation, detecting the propagation of three PQDs: impulsive transients propagated at two locations in the grid, voltage fluctuation, and harmonic content propagated to all the locations. The results obtained show that the low-cost system and the developed methodology allow the detection of several PQDs, and track their propagation within a grid with 100% accuracy.
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spelling pubmed-82009562021-06-15 Power Quality Disturbance Tracking Based on a Proprietary FPGA Sensor with GPS Synchronization Pardo-Zamora, Oscar N. Romero-Troncoso, Rene de J. Millan-Almaraz, Jesus R. Morinigo-Sotelo, Daniel Osornio-Rios, Roque A. Antonino-Daviu, Jose A. Sensors (Basel) Article The study of power quality (PQ) has gained relevance over the years due to the increase in non-linear loads connected to the grid. Therefore, it is important to study the propagation of power quality disturbances (PQDs) to determine the propagation points in the grid, and their source of generation. Some papers in the state of the art perform the analysis of punctual measurements of a limited number of PQDs, some of them using high-cost commercial equipment. The proposed method is based upon a developed proprietary system, composed of a data logger FPGA with GPS, that allows the performance of synchronized measurements merged with the full parameterized PQD model, allowing the detection and tracking of disturbances propagating through the grid using wavelet transform (WT), fast Fourier transform (FFT), Hilbert–Huang transform (HHT), genetic algorithms (GAs), and particle swarm optimization (PSO). Measurements have been performed in an industrial installation, detecting the propagation of three PQDs: impulsive transients propagated at two locations in the grid, voltage fluctuation, and harmonic content propagated to all the locations. The results obtained show that the low-cost system and the developed methodology allow the detection of several PQDs, and track their propagation within a grid with 100% accuracy. MDPI 2021-06-05 /pmc/articles/PMC8200956/ /pubmed/34198887 http://dx.doi.org/10.3390/s21113910 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pardo-Zamora, Oscar N.
Romero-Troncoso, Rene de J.
Millan-Almaraz, Jesus R.
Morinigo-Sotelo, Daniel
Osornio-Rios, Roque A.
Antonino-Daviu, Jose A.
Power Quality Disturbance Tracking Based on a Proprietary FPGA Sensor with GPS Synchronization
title Power Quality Disturbance Tracking Based on a Proprietary FPGA Sensor with GPS Synchronization
title_full Power Quality Disturbance Tracking Based on a Proprietary FPGA Sensor with GPS Synchronization
title_fullStr Power Quality Disturbance Tracking Based on a Proprietary FPGA Sensor with GPS Synchronization
title_full_unstemmed Power Quality Disturbance Tracking Based on a Proprietary FPGA Sensor with GPS Synchronization
title_short Power Quality Disturbance Tracking Based on a Proprietary FPGA Sensor with GPS Synchronization
title_sort power quality disturbance tracking based on a proprietary fpga sensor with gps synchronization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8200956/
https://www.ncbi.nlm.nih.gov/pubmed/34198887
http://dx.doi.org/10.3390/s21113910
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