Partial discharges triggered by metal-particle on insulator surface under standard oscillating impulses in SF&lt;sub&gt;6&lt;/sub&gt; gas

Ren, Ming; Zhang, Chongxing; Dong, Ming; Qiu, Aici

doi:10.1109/tdei.2015.004828

Cited by 19 publications

(14 citation statements)

References 20 publications

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“…Regarding the progressive formation of a surface flashover from the initial corona discharge, Zhao et al [18] measured the evolution of the propagation velocity of the surface streamer under repetitive sub‐microsecond pulses and discussed mechanisms of the back discharge and the reversed polarity effect of the repetitive working coefficient. The surface discharge configuration resembled the surface needle defect structure in partial discharge studies [46]. Evolutions of surface streamers and flashover regimes were different from the gas volume breakdown, although the majority of discharge tendencies were similar.…”

Section: Discharge Mode Transition In the Repetitively Pulsed Dischmentioning

confidence: 83%

“…Deng et al [40] reported that the length of the second surface discharge dramatically decreased if the second voltage pulse had the same polarity and explained this trend based on the effect of surface charges on the electric field distribution. Besides, the back discharge is frequently observed in the surface discharge at the falling edge of a negative pulsed voltage, which is related to the locally reversed electric field at the electrode edge [18, 45, 46]. Although the binding energy of intrinsic electrons in the solid dielectric surface is as high as 10 eV, the depth of the surface trap centre is conventionally around 1 eV, which enables frequent trapping and detrapping processes [41].…”

Section: Characteristics and Developing Process Of The Gas Gap Breamentioning

confidence: 99%

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Repetitively pulsed gas discharges: memory effect and discharge mode transition

Zhao

2020

High Voltage

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Repetitively pulsed gas volume and dielectric surface discharges have gained growing attention because of peculiar and exciting physics phenomena, high efficiency, high reactivity, and potential to obtain conventionally unachievable plasma properties. Nevertheless, incomplete understanding of fundamental mechanisms renders the repetitively pulsed discharge far less predictable and controllable, where the inherent memory effect and the discharge mode transition are universal challenges. In this topical review, the authors will explore the macroscopic characteristics of the gas gap breakdown and the surface flashover, state‐of‐the‐art mechanisms and dominant agents of discharge memory effects, operation regimes and transitions of the discharge mode, and how waveform parameters affect the pulsed discharge properties. Challenges and potential approaches for further understanding the memory effect and the discharge mode transition in the repetitively pulsed discharge are discussed.

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Section: Discharge Mode Transition In the Repetitively Pulsed Dischmentioning

confidence: 83%

Section: Characteristics and Developing Process Of The Gas Gap Breamentioning

confidence: 99%

Repetitively pulsed gas discharges: memory effect and discharge mode transition

Zhao

2020

High Voltage

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“…The IEC 60270 standard is used to quantify the intensity of PD. 11–14 According to the equivalent circuit shown in Figure 4(b), considering that the conductances G a , G b , and G c are very small, the variable of charge at both ends of the air gap can be expressed as follows, assuming the discharge causes the voltage change on C a be Δ U a …”

Section: Principle Of Ozone Detection Methodsmentioning

confidence: 99%

Device for online monitoring of insulation faults in high-voltage switchgears

Song

Zhang

Fan

2021

International Journal of Distributed Sensor Networks

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Partial discharges are the major cause of deterioration in the insulation characteristics of switchgears. Therefore, timely detection of partial discharge in switchgear and potential insulation faults is an urgent problem that needs to be addressed in the power supervision industry. In this study, a device was proposed for online monitoring of high-voltage switchgears based on pulse current method and ozone (O3) detection. The pulse current method obtains the PD signal by monitoring the phase holes on the switch indicator. Occurrence of a partial discharge in a certain phase leads to the production of a discharge pulse, which can be coupled out by a capacitive sensor. The current spectrum and the O3 produced by partial discharge were processed via fast Fourier transform for accurate diagnosis of the occurrence of partial discharge and its severity in switchgears. The proposed method allows for convenient acquisition of the partial discharge signal, simple installation of the device, and realization with inexpensive sensors.

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“…As shown in Figure 3, typical defects in practical DC-GIE include: metallic protrusion, which is usually manifested as the abnormal bulge on a HV conductor [39]; free conductive particle, which is generally shown as the metal powder that can move freely in a cavity [40]; insulator pollution, which is formed by various pollution on the surface of an insulator [41]; and insulator gap, which is formed by peeling a gap between a HV conductor and disc insulator [42]. The protrusion defect is the most harmful and the particle defect is the most typical in DC-GIE.…”

Section: Insulation Defect Modelmentioning

confidence: 99%

Decomposition Characteristics of SF6 and Partial Discharge Recognition under Negative DC Conditions

Tang

Yang

et al. 2017

Energies

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Four typical types of artificial defects are designed in conducting the decomposition experiments of SF 6 gas to obtain and understand the decomposition characteristics of SF 6 gas-insulated medium under different types of negative DC partial discharge (DC-PD), and use the obtained decomposition characteristics of SF 6 in diagnosing the type and severity of insulation fault in DC SF 6 gas-insulated equipment. Experimental results show that the negative DC partial discharges caused by the four defects decompose the SF 6 gas and generate five stable decomposed components, namely, CF 4 , CO 2 , SO 2 F 2 , SOF 2 , and SO 2 . The concentration, effective formation rate, and concentration ratio of SF 6 decomposed components can be associated with the PD types. Furthermore, back propagation neural network algorithm is used to recognize the PD types. The recognition results show that compared with the concentrations of SF 6 decomposed components, their concentration ratios are more suitable as the characteristic quantities for PD recognition, and using those concentration ratios in recognizing the PD types can obtain a good effect.

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Partial discharges triggered by metal-particle on insulator surface under standard oscillating impulses in SF<sub>6</sub> gas

Cited by 19 publications

References 20 publications

Repetitively pulsed gas discharges: memory effect and discharge mode transition

Repetitively pulsed gas discharges: memory effect and discharge mode transition

Device for online monitoring of insulation faults in high-voltage switchgears

Decomposition Characteristics of SF6 and Partial Discharge Recognition under Negative DC Conditions

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