RT info:eu-repo/semantics/article
T1 Power quality disturbance tracking based on a proprietary FPGA sensor with GPS synchronization
A1 Pardo Zamora, Oscar N.
A1 Romero Troncoso, René de Jesús
A1 Millán Almaraz, Jesús Roberto
A1 Moríñigo Sotelo, Daniel
A1 Osornio Ríos, Roque A.
A1 Antonino Daviu, Jose A.
K1 Global Positioning System
K1 Sistemas de posicionamiento global
K1 Electric power systems - Quality control
K1 Energía eléctrica - Calidad - Control
K1 Swarm intelligence
K1 Genetic algorithms
K1 Algoritmos genéticos
K1 Field programmable gate arrays
K1 Electronic circuits
K1 Circuitos electrónicos
K1 Industrial facilities
K1 Instalaciones industriales
K1 3306 Ingeniería y Tecnología Eléctricas
AB 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.
PB MDPI
SN 1424-8220
YR 2021
FD 2021
LK https://uvadoc.uva.es/handle/10324/59778
UL https://uvadoc.uva.es/handle/10324/59778
LA eng
NO Sensors, 2021, Vol. 21, Nº. 11, 3910
NO Producción Científica
DS UVaDOC
RD 23-dic-2024