Investigation of Free-Moving Particles under AC Electric Field in Different Insulating Gas Mixtures

Wiener, Johannes; Hinrichsen, Volker; Wacker, Daniel Raphael; Goll, Felix; Juhre, Karsten

doi:10.1109/tdei.2021.009246

Cited by 6 publications

(5 citation statements)

References 6 publications

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“…This platform includes a high-voltage AC power system (high-voltage transformer, protection resistance, and coupling capacitance), a GIL experimental cavity, a semi-closed experimental cavity, a high-speed camera, and a data acquisition system. The simulation method of free-conducting particle faults mainly consults the investigations of motion analysis of free-conducting particles (Wiener et al, 2021;.…”

Section: Experimental Platform and Data Acquisitionmentioning

confidence: 99%

“…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%

“…Wu et al ( 2022) analyzed the motion characteristics of different sizes of free-conducting particles in AC GIL. Wiener et al (2021) reported the behavior of free-moving particles under AC electric field in different insulating gas mixtures. Ma et al (2022) studied on movement and…”

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confidence: 99%

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

Duan

Ma²,

Yang³

et al. 2023

Front. Energy Res.

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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.

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Section: Experimental Platform and Data Acquisitionmentioning

confidence: 99%

Section: Fault Diagnosismentioning

confidence: 99%

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

Duan

Ma²,

Yang³

et al. 2023

Front. Energy Res.

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“…Recent studies on particle traps have included: scholars placing particle traps near insulators in a true 1100 kV GIL and using experimental methods to obtain a step-by-step voltage application method that optimally inhibits particles in conjunction with particle traps [12]. Johannes et al scholars, from the Technical University, Darmstadt, experimentally tested the effectiveness of particle traps for different gas mixtures by observing particle movement with a camera and evaluating the ultra-high frequency partial discharge amount [13]. Reference [14] calculates the characteristics of metal powder particle motion distribution at the rated voltage and evaluates the capture ability of the particle traps based on those characteristics.…”

Section: Introductionmentioning

confidence: 99%

Trap Parameters Optimization Based on Metal Particle Dynamic Simulation Method

Wang

Xiao

et al. 2022

Symmetry

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Insulation failure usually occurs in AC gas-insulated transmission (AC GIL) in field operation, in which the primary cause is the charged motion of metal particles in the electric filed. At present, the particle inhibition method applied is to design particle traps on the inner wall of the GIL shell. However, due to the large randomness of the charged motion for metallic particles and the limitations of field test methods, a particle trap has not yet been designed from the perspective of particle trapping effectiveness. In this paper, firstly, referring to the size of a running 252 kV AC GIL, a 1:1 scaled 3-D similarity simulation model is established to obtain the dynamic characteristics of particles with different sizes under the operating voltage level. This model can form symmetry between the real equipment, and its simulated simulation trajectory can achieve symmetry with the actual one. Secondly, an experimental platform that can easily capture the motion of the particles is set up to experimentally verify the symmetry between the field operating equipment and the simulation model. Finally, the particle traps are set on both sides of the concave and convex surface of the basin insulator, and an optimization scheme for the design of the particle trap is proposed from three aspects: the electric field regulation of the trap, the captured probability of particles, and the trap location. The proposed research shows that, with respect to the motion characteristics of the particles, this paper selects circular hole-shaped trap and its thickness, slot spacing, and slot width are 10 mm, 6 mm, and 8 mm, respectively. When the traps are arranged, one at the bottom of the shell at 70 mm and 80 mm from each side of the concave and convex insulator, the capture probability of the traps on both sides can be as high as 78% and 70%, respectively. Therefore, the analysis and optimization method in this paper has important reference value according to similarity concepts for optimizing particle traps in AC GIL at a certain voltage level.

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“…They further state a field strength in SF 6 of ≈ 330 Td at 100 kPa and ≈ 270 Td at 200 kPa. Other works focus on the breakdown voltage of C 4 F 7 N mixtures rather than pure C 4 F 7 N [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Identification of the discharge kinetics in the perfluoro-nitrile C₄F₇N with swarm and breakdown experiments

Hösl

Chachereau

Pachin

et al. 2019

J. Phys. D: Appl. Phys.

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We follow up on our previous publication on C 4 F 7 N and investigate the ion kinetics influencing C 4 F 7 N discharges with a pulsed Townsend experiment. The measured current signals at pressures between 6 and 69 kPa, in the range of density-reduced electric fields E/N from 500 to 1050 Td, show evidence of three anions: one long-lived anion with a detachment rate coefficient in the order of 10 −20 m 3 s −1 , a presumably non-detaching anion, and a short-lived anion with a detachment rate coefficient in the order of 10 −17 m 3 s −1. We obtain the corresponding rate coefficients for ionization, attachment and detachment in C 4 F 7 N. Using these results, we calculate a corrected value of the effective ionization rate coefficient (ν eff /N) * , taking into account detachment from negative ions. It results in a corrected value of the density-reduced critical electric field strength (E/N) * crit = 785 ± 15 Td, much lower than the previously obtained value of (E/N) crit = 975 ± 15 Td, which is valid only when electron detachment is negligible, i.e. for low pressure and small geometric distance. To find which value is most relevant for electrical insulation, we perform breakdown voltage measurements in homogeneous electric fields in C 4 F 7 N at 5 to 65 kPa. We compare the measured density-reduced breakdown field strength (E/N) bd to that calculated using the streamer criterion with the presently obtained rate coefficients, including electron detachment. We find excellent agreement between the measured and calculated (E/N) bd .

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Investigation of Free-Moving Particles under AC Electric Field in Different Insulating Gas Mixtures

Cited by 6 publications

References 6 publications

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

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

Trap Parameters Optimization Based on Metal Particle Dynamic Simulation Method

Identification of the discharge kinetics in the perfluoro-nitrile C₄F₇N with swarm and breakdown experiments

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Investigation of Free-Moving Particles under AC Electric Field in Different Insulating Gas Mixtures

Cited by 6 publications

References 6 publications

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

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

Trap Parameters Optimization Based on Metal Particle Dynamic Simulation Method

Identification of the discharge kinetics in the perfluoro-nitrile C4F7N with swarm and breakdown experiments

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Identification of the discharge kinetics in the perfluoro-nitrile C₄F₇N with swarm and breakdown experiments