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Multi-Parameter Optical Monitoring Solution Applied to Underground Medium-Voltage Electric Power Distribution Networks

Authors :
Fabio R. Bassan
Joao B. Rosolem
Claudio Floridia
Rivael S. Penze
Bruno N. Aires
Ronaldo A. Roncolatto
Rodrigo Peres
João R. Nogueira Júnior
João Paulo V. Fracarolli
Eduardo F. da Costa
Filipe H. Cardoso
Fernando R. Pereira
Carla C. Furoni
Cláudia M. Coimbra
Victor B. Riboldi
Camila Omae
Marcelo de Moraes
Source :
Sensors, Vol 23, Iss 11, p 5066 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

This work presents a multi-parameter optical fiber monitoring solution applied to an underground power distribution network. The monitoring system demonstrated herein uses Fiber Bragg Grating (FBG) sensors to measure multiple parameters, such as the distributed temperature of the power cable, external temperature and current of the transformers, liquid level, and intrusion in the underground manholes. To monitor partial discharges of cable connections, we used sensors that detect radio frequency signals. The system was characterized in the laboratory and tested in underground distribution networks. We present here the technical details of the laboratory characterization, system installation, and the results of 6 months of network monitoring. The data obtained for temperature sensors in the field tests show a thermal behavior depending on the day/night cycle and the season. The temperature levels measured on the conductors indicated that in high-temperature periods, the maximum current specified for the conductor must be reduced, according to the applied Brazilian standards. The other sensors detected other important events in the distribution network. All the sensors demonstrated their functionality and robustness in the distribution network, and the monitored data will allow the electric power system to have a safe operation, with optimized capacity and operating within tolerated electrical and thermal limits.

Details

Language :
English
ISSN :
14248220
Volume :
23
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.4fc69ce84ecf4bff9cd5500bded24e70
Document Type :
article
Full Text :
https://doi.org/10.3390/s23115066