Whether the metal particles in DC GIL/GIS can be effectively captured by particle traps affects its safety and stability operation. In this paper, a test platform simulation of the real structure is set up to study the influence law of the particle trap on the capture rate. The effect of the key structure parameters and shielding balls on the capture rate of the up-lift particle trap is studied, and a surface coating strategy on the particle trap is proposed to improve the trapping efficiency of the trap. The results show that increasing the length and height of the trap can improve the capture efficiency of the particle, while a too-large or too-small grid is not conducive to trap capture. With the initial lifting position of the particle away from the particle trap, the capture rate decreases. The cone-shaped structure is conducive to the particles moving toward the trap direction and the hollow structure had the trapping efficiency of the particles. The research observations also indicate that the shielding balls with cone-shaped outside and hollow inside can improve the capture rate of the particle trap by 37.2% on average. Furthermore, it is found that the surface coating of the particle trap can isolate the charge transfer when moving particles arrive, which can increase the capture rate of the particle trap by 17.2% on average. Accordingly, typical trajectories of particles captured and escaped are analyzed and discussed. This work provides a significant idea to design the particle traps and the controlling strategies of DC GIL/GIS particle pollution.

The metal dust moving inside the HVDC GIS/GIL will be easily adsorbed to the surface of the insulator and cause surface discharge. The study of the movement and adsorption characteristics of metal dust is extremely important. In this paper, NPLE image processing method is proposed that uses unified indicators to observe and count metal dust. The movement rules of metal dust particle groups inside DC GIS/GIL and the adsorption characteristics on the insulator surface are studied. The effect of metal particle traps on metal dust capture efficiency is explored. The results show that the range of concentrated distribution of metal dust inside DC GIS/GIL is basically stable, but there is a certain degree of randomness. The concentrated distribution range of metal dust is 148.1°, and the range where a large amount of metal dust is adsorbed on the surface of the basin insulator is 151.5°. The two ranges are very close. Assembling a particle trap can reduce the amount of dust adsorption by up to 99.86% in this experiment. Further simulation analysis found that areas with strong normal field strength on the surface of the insulator are prone to absorbing metal particles. The results can provide a basis for suppression and capture strategies of metal particles inside DC GIS/GIL.

Free metal particles within hvdc GIL pose a significant threat to insulation integrity. This paper presents a multi-scale dynamic simulation method for micron-sized metal particles in hvdc GIL systems. It establishes an adhesion simulation model for these metal particles and captures their macroscopic movement in conjunction with microscopic properties. Based on this model, the collision characteristics of particles of algorithms, sizes, and shapes are analyzed. The simulation results indicate that the critical adsorption velocity of ellipsoidal particles with an eccentricity of 5 is 6 times greater than that of particles of the same size. The belly of the tri-post insulator is identified as a high-risk area for the adsorption of metal particles. While increasing the particle trap length enhances capture efficiency, a saturation phenomenon occurs, which varies with the electric field of the GIL insulator. Following simulation analysis, the optimal trap length is determined to be 550 mm. These studies provide methodologies for accurate simulation of metal particles and contribute to particle pollution control and the reliability enhancement of hvdc GIL equipment.

A wireless signal transmission technology based on acoustic carrier is proposed, which overcomes the limitation of electromagnetic signal shielding and shows great potential for in‐site monitoring of sliding electrical contact used in gas‐insulated switchgear (GIS)/gas‐insulated transmission line (GIL). Here, the state parameter of the sliding electrical contact is modulated onto the frequency domain of an ultrasound wave. As a mechanical wave, the ultrasonic wave is immune to electromagnetic shielding, so that it could carry the sensing signal to penetrate the metal shielding layer and transmit to the external terminals of GIS/GIL. The principle and signal modulation process of the acoustic carrier based transmission system have been demonstrated in detail. Both simulation and experiment have been conducted to analyse the system characteristics as well as optimise the system configuration. As a proof‐of‐concept application, the in situ and on‐line monitoring of the thermal rise of a slide electrical contact both in a current loading equivalent model and a prototype of GIS is demonstrated. Experimental results fit well with the physical process, and show a good measurement accuracy of 0.6% and temperature sensitivity of 400 Hz/°C.

It is important to solve the problem of metal particle pollution inside the DC GIL. Using numerical simulation to calculate the trajectory of metal particles is an important method of designing particle traps and drive electrodes. In this paper, a 3D simulation method of dynamic particle motion randomly based on quadratic Rodrigues’ rotation is proposed to solve the trajectory of metal particles inside the DC GIL, considering the random reflection. Based on this model, the influence characteristics of random reflection angle, gravity inclination, particle size and other factors on particle motion are analyzed. From the results, the trapping efficiency of particle traps becomes weaker under the effect of gravity, and particles with larger sizes are more likely to escape. The drive electrodes set at the high voltage conductor can prevent particles from crossing the drive electrode. It can effectively improve the capture efficiency of the particle trap and increase the capture-escape ratio more than 45.9%.

This paper presents a trapezoidal toothed log-periodic ultra-high frequency antenna for partial discharge (PD) detection in high-voltage power equipment. The proposed antenna features a novel trapezoidal toothed structure and a systematic parametric optimization process, achieving an impedance bandwidth of 0.5–3 GHz (VSWR < 5) and a maximum gain of 6.34 dBi at 1.75 GHz. Experimental validation in a controlled sulfur hexafluoride (SF6) gas environment demonstrates the antenna’s ability to detect weak PD signals with a high signal-to-noise ratio of up to 20 dB and generate clear phase-resolved partial discharge (PRPD) patterns. The obtained PRPD patterns aligning well with theoretical expectations and commercial detection systems, highlighting the antenna’s potential for real-time PD monitoring and fault diagnosis in high-voltage power systems.