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Electronics 2018, 7(12), 433; https://doi.org/10.3390/electronics7120433

Homogeneity-PMU-Based Method for Detection and Classification of Power Quality Disturbances

1
ENAP-Research Group, Facultad de Ingeniería, Universidad Autónoma de Querétaro (UAQ), Campus San Juan del Río, Río Moctezuma 249, Col. San Cayetano, San Juan del Río C. P. 76807, Mexico
2
ENAP-Research Group, Departamento de Ingeniería Electromecánica, Instituto Tecnológico Superior de Irapuato (ITESI), Carr. Irapuato-Silao km 12.5, Colonia El Copal, Irapuato C. P. 36821, Mexico
3
CONACYT—Centro Nacional de Investigación y Desarrollo Tecnológico (CENIDET), Tecnológico Nacional de México, Interior Internado Palmira S/N, Col. Palmira, Cuernavaca C. P. 62490, Mexico
4
Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Luis Enrique Erro # 1, Col. Tonantzintla, Puebla C. P. 72840, Mexico
*
Author to whom correspondence should be addressed.
Received: 24 November 2018 / Revised: 10 December 2018 / Accepted: 10 December 2018 / Published: 12 December 2018
(This article belongs to the Special Issue Power Quality in Smart Grids)
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Abstract

Over the past few years, power quality (PQ) monitoring has become of paramount importance for utilities and users since poor PQ generates negative consequences. In monitoring, fast detection and accurate classification of PQ disturbances (PQDs) are desirable features. In this work, a new method to detect and classify PQDs is proposed. The proposal takes advantage of the low computational resources of both a phasor measurement unit (PMU)-based signal processing scheme and the homogeneity approach. To classify the PQDs, if–then–else rules are used. To validate and test the proposal, synthetic and real signals of sags, swells, interruptions, notching, spikes, harmonics, and oscillatory transients are considered. For the generation of real signals, a PQD generator based on a power inverter is used. In the proposed method, the PMU information is directly used to classify sags, swells, and interruptions, whereas the homogeneity index is used to distinguish among the remaining PQDs. Results show that the proposal is an effective and suitable tool for PQ monitoring. View Full-Text
Keywords: electrical disturbances; homogeneity; phasor measurement unit; power quality electrical disturbances; homogeneity; phasor measurement unit; power quality
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Razo-Hernandez, J.R.; Valtierra-Rodriguez, M.; Amezquita-Sanchez, J.P.; Granados-Lieberman, D.; Gomez-Aguilar, J.F.; Rangel-Magdaleno, J.J. Homogeneity-PMU-Based Method for Detection and Classification of Power Quality Disturbances. Electronics 2018, 7, 433.

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