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Bio-inspired Printed Monopole Antenna Applied to Partial Discharge Detection
Josiel do Nascimento Cruz1, Alexandre Jean René Serres2, Adriano Costa de Oliveira3
1Post-Graduate Program of Electrical Engineering (PPgEE), Federal University of Campina Grande (UFCG), Aprigio Veloso 882, Campina Grande 58429-900, Brazil. josiel.cruz@ee.ufcg.edu.br.
Sensors (Basel, Switzerland)
|February 6, 2019
Summary
A novel bio-inspired printed monopole antenna (PMA) effectively monitors partial discharge (PD) in high-voltage systems. This optimized sensor offers high sensitivity and immunity to interference, outperforming standard methods.
Area of Science:
- Electrical Engineering
- Electromagnetics
- Materials Science
Background:
- Partial discharge (PD) detection is crucial for high-voltage insulating system integrity.
- Existing monitoring methods face limitations in sensitivity and interference immunity.
- Bio-inspired designs offer potential for novel sensor development.
Purpose of the Study:
- To develop and evaluate a bio-inspired printed monopole antenna (PMA) for PD monitoring.
- To optimize the PMA sensor for detecting electromagnetic signals from PD events.
- To assess the PMA's performance against the standard IEC 60270 method.
Main Methods:
- Designed a PMA using a bio-inspired patch geometry (Inga Marginata leaf) and truncated ground plane for ultra-wideband (UWB) operation.
- Fabricated and measured antenna characteristics (frequency, gain) in an anechoic chamber.
- Conducted simultaneous comparative tests with the IEC 60270 method using a PD generator.
Main Results:
- The PMA demonstrated an operating bandwidth covering the PD frequency range with a mean gain of 3.63 dBi.
- The sensor detected PD signals at half the voltage levels compared to the IEC method.
- The PMA exhibited immunity to corona discharges, a common interference source.
Conclusions:
- The bio-inspired PMA is an optimized sensor for PD detection in high-voltage systems.
- The developed antenna is suitable for substation applications due to its sensitivity and robustness.
- This approach offers a promising alternative for reliable PD monitoring.
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