Harmonic source location and identification: an approach embedded in low-cost meter

• Grant number: 23/00182-3
• Support Opportunities: Regular Research Grants
• Start date: May 01, 2023
• End date: April 30, 2025
• Field of knowledge: Engineering - Electrical Engineering - Electrical, Magnetic and Electronic Measurements, Instrumentation
• Principal Investigator: Ricardo Augusto Souza Fernandes
• Grantee: Ricardo Augusto Souza Fernandes
• Host Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Associated researchers: Arlindo Neto Montagnoli ; Daniel Barbosa

Abstract

Locating and identifying harmonic sources are essential procedures for power distribution systems, as they improve the monitoring of power quality and support utilities' decisions regarding actions aimed at mitigating the problems arising from harmonic distortions. In this sense, this research project presents an approach that should carry out the location and identification tasks embedded in low-cost hardware, based on three-phase voltage and current measurements at the substation and points of common coupling along the radial feeder. In order to proceed with the analyses, the acquisition of 20 cycles (at steady-state) with a minimum sampling rate of 15,360 Hz (256 samples/cycle) will be considered. These signals should represent the pre- and post-connection periods of the harmonic source that most contributes to increase the total harmonic distortion measured at the substation. Next, the meters must be capable of carrying out the signal processing stage so that only a feature vector will be used by the location and identification algorithms (based on metaheuristics and supervised machine learning techniques). It is worth mentioning that, in addition to proposing an embedded approach, this project innovates in the sense of using a reduced set of meters to decrease the utility's investment. Validation of the proposed approach will occur through modeling and simulation of the IEEE 34-bus test feeder, as it is characterized as long and lightly loaded. Therefore, this feeder is suitable as it allows the connection of large non-linear loads and inverter-based distributed generators. (AU)

Scientific publications

(5)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

DE MORAES, ANDERSON LUIS; COURY, DENIS VINICIUS; FERNANDES, RICARDO AUGUSTO SOUZA. Power Quality Disturbances Segmentation: An Approach Based on Gramian Angular Field. ELECTRIC POWER COMPONENTS AND SYSTEMS, v. N/A, p. 16-pg., 2023-09-12. (21/04872-9, 23/00182-3, 19/15192-9)

CORREA, J. S.; CAVALCA, D. L.; FERNANDES, R. A. S.. Gramian Angular Field and Recurrence Plots as Feature Engineering Techniques on Residential Appliances Labeling: A Comparative Analysis. 2023 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES LATIN AMERICA, ISGT-LA, v. N/A, p. 5-pg., 2023-01-01. (23/00182-3, 22/00750-9)

FERNANDES, R. A. S.; BARBOSA, D.; MONTAGNOLI, A. N.; SUETAKE, M.. Determining the Responsibility Sharing of Harmonic Distortion: An Approach Based on Decision Trees and Neural-Fuzzy Systems. 2023 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES LATIN AMERICA, ISGT-LA, v. N/A, p. 5-pg., 2023-01-01. (15/12510-9, 23/00182-3)

MENEZES, THIAGO S.; FERNANDES, RICARDO A. S.; COURY, DENIS V.. Enhancing Microgrid Protection With Impedance-Based Blocking: An Embedded Validation on a Dual-Layer Architecture. IEEE ACCESS, v. 13, p. 11-pg., 2025-01-01. (21/04872-9, 23/00182-3)

BARBALHO, PEDRO I. N.; MORAES, ANDERSON L.; LACERDA, VINICIUS A.; BARRA, PEDRO H. A.; FERNANDES, RICARDO A. S.; COURY, DENIS V.. Reinforcement Learning Solutions for Microgrid Control and Management: A Survey. IEEE ACCESS, v. 13, p. 18-pg., 2025-01-01. (23/00182-3, 21/04872-9)