Next Article in Journal
Data-Adaptive Coherent Demodulator for High Dynamics Pulse-Wave Ultrasound Applications
Next Article in Special Issue
Optimal Power Flow Controller for Grid-Connected Microgrids using Grasshopper Optimization Algorithm
Previous Article in Journal
Short Term Residential Load Forecasting: An Improved Optimal Nonlinear Auto Regressive (NARX) Method with Exponential Weight Decay Function
Previous Article in Special Issue
A Hierarchical Control Methodology for Renewable DC Microgrids Supporting a Variable Communication Network Health
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle
Electronics 2018, 7(12), 433;

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

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
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
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
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)
Full-Text   |   PDF [4732 KB, uploaded 12 December 2018]   |  


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

Figure 1

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).

Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Electronics EISSN 2079-9292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top