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dc.contributor.author | Pardo-Zamora, Oscar N. | es_ES |
dc.contributor.author | Romero-Troncoso, Rene de J. | es_ES |
dc.contributor.author | Millan-Almaraz, Jesus R. | es_ES |
dc.contributor.author | Morinigo-Sotelo, Daniel | es_ES |
dc.contributor.author | Osornio-Rios, Roque A. | es_ES |
dc.contributor.author | Antonino-Daviu, Jose A. | es_ES |
dc.date.accessioned | 2023-04-18T18:00:33Z | |
dc.date.available | 2023-04-18T18:00:33Z | |
dc.date.issued | 2021-06 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/192812 | |
dc.description.abstract | [EN] The study of power quality (PQ) has gained relevance over the years due to the increase of non-linear loads connected to the grid. Therefore, it is important to study the propagation of power quality disturbances (PQD) 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 PQD, some of them using high-cost commercial equipment. The proposed method is based upon a proprietary system developed, composed by a data logger FPGA with GPS that allows performing synchronized measurement merge with the full parameterized PQD model, allowing to detect and track disturbances propagate through the grid using wavelet transform (WT), fast Fourier transform (FFT), Hilbert Huang transform (HHT), genetic algorithms (GA), and particle swarm optimization (PSO). Measurements have been performed in an industrial installation, detecting the propagation of three PQD: impulsive transient 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 to perform detection of several PQD and track its propagation within a grid with 100% accuracy. | es_ES |
dc.description.sponsorship | This research was funded by Conacyt (Consejo Nacional de Ciencia y Tecnologia), under the scholarship 486847. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Sensors | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Global positioning system | es_ES |
dc.subject | Industrial facilities | es_ES |
dc.subject | Propagation | es_ES |
dc.subject | Power quality disturbance | es_ES |
dc.subject | Particle swarm optimization | es_ES |
dc.subject | Genetic algorithms | es_ES |
dc.subject | Field-programmable gate array | es_ES |
dc.subject.classification | INGENIERIA ELECTRICA | es_ES |
dc.title | Power Quality Disturbance Tracking Based on a Proprietary FPGA-Sensor with GPS Synchronization | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/s21113910 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/CONACYT//486847/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials | es_ES |
dc.description.bibliographicCitation | Pardo-Zamora, ON.; Romero-Troncoso, RDJ.; Millan-Almaraz, JR.; Morinigo-Sotelo, D.; Osornio-Rios, RA.; Antonino-Daviu, JA. (2021). Power Quality Disturbance Tracking Based on a Proprietary FPGA-Sensor with GPS Synchronization. Sensors. 21(11):1-21. https://doi.org/10.3390/s21113910 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/s21113910 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 21 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 21 | es_ES |
dc.description.issue | 11 | es_ES |
dc.identifier.eissn | 1424-8220 | es_ES |
dc.identifier.pmid | 34198887 | es_ES |
dc.identifier.pmcid | PMC8200956 | es_ES |
dc.relation.pasarela | S\438804 | es_ES |
dc.contributor.funder | Consejo Nacional de Ciencia y Tecnología, México | es_ES |