Partial discharge characteristics of cavities with different appearances and positions in solid insulation

Zhang, Qian; Li, Junhao; Han, Xutao; Zhang, Xuanrui; He, Cong; Yao, Xin

doi:10.1109/mei.2019.8735668

Cited by 7 publications

(1 citation statement)

References 9 publications

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“…For a lot of GISs which have been put into operation, or have no built-in UHF sensor, the external type is very suitable [10]. In order to avoid corrosion and electromagnetic wave leakage during the operation, the current GIS disc insulators are gradually based on the resin hole type, and the surface of the insulator is covered by a metal ring except for the resin hole [11,12]. The electromagnetic signal can be spread out through the resin hole, as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

External UHF Sensor for GIS PD Insulation Defect from Resin Hole

Li¹,

Xu²,

Zhang³

et al. 2023

Energy Engineering

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In view of the effective perception demand of PD (Partial Discharge) insulation defect of in-service GIS (Gas Insulated Switchgear), the external UHF (Ultra High Frequency, 0.3−3 GHz) sensing technology for GIS PD insulation defect from resin hole is studied in this paper. Firstly, rectangular waveguide theory is used to analyze the electromagnetic wave propagation characteristics from rectangular resin hole in GIS disc insulator. It is found that the energy of leaked electromagnetic wave mainly concentrates in the frequency band above 1 GHz. Then based on this frequency band characteristics, a cavity-backed bowtie sensor for GIS PD external detection is designed optimized by HFSS finite element software, in band of 1-3 GHz, its maximum VSWR is 7, the minimum is 1.1, the average is 2.9, and in band of 0.3-1 GHz, the maximum and minimum VSWR is 42.8 and 7, the average is 20.6. Finally, a sensor prototype is made, its sensitivity experiment is carried out on 220 kV GIS, experimental results show that the designed sensor can stably detect the PD electromagnetic wave signal leaked from the resin hole, and the signal energy in frequency band range is consistent with the theoretical analysis results.

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Section: Introductionmentioning

confidence: 99%