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ARTICLES

UHF LS Peano fractal antenna for PD GIS detection

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Pages 1797-1811 | Received 15 May 2020, Accepted 27 Jun 2020, Published online: 09 Jul 2020
 

Abstract

An LS Peano fractal antenna, which integrates the self-similarity and spatial filling features of fractal technology, was designed for detecting the ultra-high frequency (UHF) signals generated by gas-insulated switchgear (GIS) partial discharge (PD). Firstly, we used ANSYS HFSS to simulate and design the LS Peano fractal antenna. Then we made the antenna object according to the optimised simulation results. Finally, PD trials involving a metal protrusion defect are conducted therewith. The test results show that: the LS Peano fractal antenna has ellipsoidal directivity; the measured results indicate that the voltage standing wave ratio (VSWR) of this antenna is less than 4.5 in the range from 300 MHz to 3 GHz, which has better PD monitoring ability; the VSWR of this antenna is less than 2 in the range from 1.1 GHz MHz to 3 GHz, which has a higher density of monitoring PD.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Yongqiang Wang

Yongqiang Wang was born in Hebei province, China in 1975. He received the B.S., M.S. and Ph.D. degree in electrical engineering from North China Electric Power University, Baoding, China in 1996, 2002, and 2009, respectively. He is engaged with teaching and his research interests are monitoring and fault diagnosis of electrical equipment and Electrical insulation technology.

Changhui Feng

Changhui Feng was born in Shandong province, China in 1995. He is currently pursuing for M.Sc. degree in North China Electric Power University, Baoding, China. His main research interest is monitoring and fault diagnosis of electrical.

Jie Guan

Jie Guan was born in Shanxi province, China in 1994. He received the B.S. degree in electrical engineering from Taiyuan University of Technology, Taiyuan, China in 2017. He is pursuing the M.S. degree in electrical engineering at North China Electric Power University, Baoding, China. His research interests include on-line monitoring and fault diagnosis of electrical equipment.

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