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Título
Power quality disturbance tracking based on a proprietary FPGA sensor with GPS synchronization
Autor
Año del Documento
2021
Editorial
MDPI
Descripción
Producción Científica
Documento Fuente
Sensors, 2021, Vol. 21, Nº. 11, 3910
Résumé
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.
Materias (normalizadas)
Global Positioning System
Sistemas de posicionamiento global
Electric power systems - Quality control
Energía eléctrica - Calidad - Control
Swarm intelligence
Genetic algorithms
Algoritmos genéticos
Field programmable gate arrays
Electronic circuits
Circuitos electrónicos
Materias Unesco
3306 Ingeniería y Tecnología Eléctricas
Palabras Clave
Industrial facilities
Instalaciones industriales
ISSN
1424-8220
Revisión por pares
SI
Patrocinador
Consejo Nacional de Ciencia y Tecnología (CONACYT) - (grant 486847)
Version del Editor
Propietario de los Derechos
© 2021 The authors
Idioma
eng
Tipo de versión
info:eu-repo/semantics/publishedVersion
Derechos
openAccess
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