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PD Flexible Built-In High-Sensitivity Elliptical Monopole Antenna Sensor.
Hanting Zhang1, Guozhi Zhang1, Xiaoxing Zhang1
1Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment, Hubei University of Technology, Wuhan 430068, China.
Sensors (Basel, Switzerland)
|July 9, 2022
Summary
A novel flexible antenna enhances partial discharge detection in Gas Insulated Switchgear (GIS). This high-sensitivity sensor effectively detects ultra-high frequency signals, improving electrical equipment safety and reliability.
Area of Science:
- Electrical Engineering
- Electromagnetics
- Antenna Design
Background:
- Existing rigid ultra-high frequency (UHF) sensors for Gas Insulated Switchgear (GIS) exhibit insufficient signal detection sensitivity and poor conformity with GIS surface structure.
- Partial discharge (PD) detection in GIS is critical for preventing equipment failure.
Purpose of the Study:
- To develop a flexible, built-in, high-sensitivity antenna for improved PD detection in GIS.
- To overcome the limitations of rigid UHF sensors in GIS environments.
Main Methods:
- Utilized rectangular patch antenna equivalent technique, trapezoidal ground plane technique, and coplanar waveguide (CPW) feed line index asymptotic linearization technique.
- Designed and fabricated a flexible elliptic monopole antenna with a thickness of 0.28 mm.
- Tested the antenna's performance on a 220 kV-GIS partial discharge experimental platform.
Main Results:
- The flexible antenna maintained a voltage standing wave ratio (VSWR) < 3 from 300 MHz to 3 GHz across various curvature radii (0-500 mm).
- Achieved VSWR < 2 in the 650 MHz to 3 GHz band.
- Effectively detected characteristic signals of PD with an average discharge amount below 10 pC.
Conclusions:
- The developed flexible built-in high-sensitivity elliptic monopole antenna significantly improves PD detection sensitivity in GIS.
- This antenna design offers a viable solution for enhancing the safety and reliability of GIS equipment.
- The antenna's flexibility and high sensitivity make it suitable for integration into complex GIS structures.
