The Practical Application of Bio-Inspired PMA for the Detection of Partial Discharges in High Voltage Equipment

Author:

Cruz Josiel1,Serres Alexandre2,Freire Raimundo2ORCID,Costa Edson2ORCID,Xavier George3,Oliveira Adriano4ORCID,Souza Vladimir4,Lazaridis Pavlos5ORCID

Affiliation:

1. Post-Graduate Program in Electrical Engineering (PPgEE), Coordination of Postgraduate Studies in Electrical Engineering, Federal University of Campina Grande (UFCG), Campina Grande 58429-900, Brazil

2. Electrical Engineering Department, Federal University of Campina Grande (UFCG), Campina Grande 58429-900, Brazil

3. Electrical Engineering Department, Federal University of Sergipe (UFS), Sergipe 49100-000, Brazil

4. Electrical Engineering Department, Federal Rural University of the Semi-Arid (UFERSA), Mossoró 59625-900, Brazil

5. School of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK

Abstract

In this paper, the practical application of a bio-inspired antenna for partial discharge (PD) detection in high voltage equipment was evaluated in order to validate the efficiency of using this technology for PD monitoring purposes. For this, PD measurements using the bio-inspired antenna were performed on operational 69 kV potential transformers (PT) in a real substation. After the field experiment, laboratory measurements using the IEC 60270 standard method and a bio-inspired antenna were performed, simultaneously, over the evaluated PT. The results obtained at the substation indicated suspicious frequencies of partial discharge activity in two out of three evaluated potential transformers, mainly for the frequencies of 461 MHz, 1366 MHz, 1550 MHz and 1960 MHz. During the laboratory tests, the presence of partial discharge activity over the suspicious potential transformers was confirmed with the detection of PD apparent charge levels above 20 pC. Finally, the frequency spectrum obtained from the PD signals detected by the bio-inspired antenna in the laboratory presented similar frequency values to those obtained during the practical application at the substation, making it a promising indicator for future defect classification studies using artificial intelligence.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

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