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

Authors :
Bassan, Fabio R.
Rosolem, Joao B.
Floridia, Claudio
Penze, Rivael S.
Aires, Bruno N.
Roncolatto, Ronaldo A.
Peres, Rodrigo
Júnior, João R. Nogueira
Fracarolli, João Paulo V.
da Costa, Eduardo F.
Cardoso, Filipe H.
Pereira, Fernando R.
Furoni, Carla C.
Coimbra, Cláudia M.
Riboldi, Victor B.
Omae, Camila
de Moraes, Marcelo
Source :
Sensors (14248220). Jun2023, Vol. 23 Issue 11, p5066. 29p.
Publication Year :
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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14248220
Volume :
23
Issue :
11
Database :
Academic Search Index
Journal :
Sensors (14248220)
Publication Type :
Academic Journal
Accession number :
164216705
Full Text :
https://doi.org/10.3390/s23115066