Simulation and Analysis on Motion Behavior of Metal Particles in AC GIL

Wu, Zehua; Li, Zhikai; Liu, Peng; Peng, Zongren; Wang, Haoran; Cui, Buli; Li, He

doi:10.1109/tdei.2022.3163807

Cited by 11 publications

(5 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because the shape of the metallic conductive particle does not affect the force mechanism of particles, the spherical particle is often chosen as the research subject [8]. The amount of charge (q) on a spherical metallic conductive particle after colliding with the GIS enclosure is…”

Section: Axial Coulomb Force Applied To Metallic Conductive Particlesmentioning

confidence: 99%

Directional motion behavior of metallic conductive particles in GIS

You,

Yang,

Zhao

et al. 2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Currently, metallic conductive particles constitute a significant risk to GIS insulation, and the motion of the particle is the direct cause of GIS insulation failure. The motion characteristic of particles is the key to conducting the study about the mechanism of particle-induced GIS insulation failure and the technology of particle suppression. However, current research lacks an analysis of the axial motion of particles, which should not be ignored. In this paper, the intensity and direction of the axial Coulomb force in the vicinity of the basin insulator are analyzed. Based on this, the relationship between the polarity of the charge on particles and the axial Coulomb force with time under AC voltage is analyzed. The research results show that the axial Coulomb forces on the outwardly and inwardly curved surfaces of the basin insulator have opposite directions so that they can propel the particles in the direction of the outwardly curved surface. Finally, the verification experiment conducted on the 252 kV GIS can also prove that particles indeed have the trend of directional motion under AC voltage, and multiple particles will eventually gather on the outwardly curved surface side. The research provides theoretical support for the motion of metallic particles and the particle suppression technology in GIS.

show abstract

Section: Axial Coulomb Force Applied To Metallic Conductive Particlesmentioning

confidence: 99%

Directional motion behavior of metallic conductive particles in GIS

You,

Yang,

Zhao

et al. 2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…In this comparative experiment, a comprehensive timefrequency domain feature vector is used as a contrastive feature vector, which contains nine time-domain features (root mean square, absolute mean value, mean square, kurtosis, skewness, waveform factor, peak factor, impulsion index, and margin index) and five frequency-domain features (mean value, standard deviation, root mean square, center frequency, and frequency kurtosis). Referring to the related researches (Wiener et al, 2021;Wu et al, 2022), the combination of particle collision frequency f c and maximum amplitude A max in the time-domain signal is used as another contrastive feature vector. Then SAWOA-MPE is compared with the two categories of feature vectors by using the DF diagnosis model.…”

Section: Fault Diagnosismentioning

confidence: 99%

Fault diagnosis of free-conducting particles within GIL based on vibration signals

Duan

Ma²,

Yang³

et al. 2023

Front. Energy Res.

View full text Add to dashboard Cite

Accurate quantitative diagnosis of free-conducting particle faults plays an important role in improving the reliability of the gas insulated line (GIL) system. However, the existing fault diagnosis methods cannot accurately identify the free-conducting particle faults with different quantities and sizes. Motivated by this, this paper proposes a novel fault diagnosis method based on vibration signals, which integrates variational mode decomposition (VMD), self-adapting whale optimization algorithm-multiscale permutation entropy (SAWOA-MPE), and deep forest (DF). First, the raw vibration signals of free-conducting particle faults are decomposed via VMD, and the decomposed signals are reconstructed based on the correlation degree. Afterwards, SAWOA is employed to optimize the critical parameters of MPE, and the optimized MPE is further utilized to extract the fault features of the reconstructed signals. Finally, the extracted feature vectors are trained and tested to construct a valid DF classification model that identifies the free-conducting particle faults. The experimental results indicate that the identification accuracy of the proposed method can reach 99.5%. Moreover, comparative tests based on various feature vector extraction methods and classification models further validate the superiority of the proposed method.

show abstract

“…In addition, because the DC gas-insulated equipment mostly has sliding plug-in structures and bolt fixing structures, etc., the friction and vibration during production, transportation, installation and maintenance may produce particles, making it difficult to cut off the influence of metal particle from the source. Therefore, the treatment of metal particle in DC gas-insulated equipment has received extensive attention from many scholars over the years [131,132] . The current research mainly focuses on the motion characteristics of metal particle under DC field and the induced capture of particle, as is shown in Figure 33.…”

Section: Metal Particlementioning

confidence: 99%

China's 10-year progress in DC gas-insulated equipment: From basic research to industry perspective

Zhang

et al. 2022

iEnergy

Self Cite

View full text Add to dashboard Cite

The construction of the future energy structure of China under the 2050 carbon-neutral vision requires compact direct current (DC) gas-insulation equipment as important nodes and solutions to support electric power transmission and distribution of long-distance and large-capacity. This paper reviews China's 10-year progress in DC gas-insulated equipment. Important progresses in basic research and industry perspective are presented, with related scientific issues and technical bottlenecks being discussed. The progress in DC gas-insulated equipment worldwide (Europe, Japan, America) is also reported briefly.

show abstract

Simulation and Analysis on Motion Behavior of Metal Particles in AC GIL

Cited by 11 publications

References 20 publications

Directional motion behavior of metallic conductive particles in GIS

Directional motion behavior of metallic conductive particles in GIS

Fault diagnosis of free-conducting particles within GIL based on vibration signals

China's 10-year progress in DC gas-insulated equipment: From basic research to industry perspective

Contact Info

Product

Resources

About