Correlation analysis between formation process of SF<sub>6</sub> decomposed components and partial discharge qualities

Tang, Ju; Zeng, Fuping; Pan, Jianyu; Zhang, Xiaoxing; Yao, Qiang; He, Jiangang; Hou, Xingzhe

doi:10.1109/tdei.2013.6518956

Cited by 127 publications

(52 citation statements)

References 38 publications

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“…The formation rates of SF6 decomposed components should also be considered because they can directly reflect the fault consumed energy, fault type, fault severity, and fault development process. Therefore, this study adopts the effective formation rate (RRMS) [47] to study the relationship between SF6 decomposed components and PD types. RRMS is expressed as follows:…”

Section: Formation Rates Of Sf6 Decomposed Componentsmentioning

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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Section: Formation Rates Of Sf6 Decomposed Componentsmentioning

confidence: 99%

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

Tang

Yang

et al. 2017

Energies

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“…In contrast to these components, SO 2 F 2 and SOF 2 are the more obvious and stable factors of SF 6 decomposition under PD. They can also effectively reflect the deterioration degree of the SF 6 insulation property and the strength of the PD energy [7,17]. Hence, SO 2 F 2 and SOF 2 are selected as the most characteristic components to represent the influence regularity of different metal electrode materials on SF 6 decomposition characteristics under PD.…”

Section: Influence Regularity Of Metal Electrodementioning

confidence: 99%

“…In this case, the SF 6 insulation medium in the gas chamber decomposes and produces a series of characteristic products under the high pulsed electromagnetic energy of PDs. The content and variation regularity of these characteristic components can effectively represent the PD pattern, severity and developing tendency of the insulation fault [7][8]. The International Council on Large Electric Systems has established the WGB3-25 work group, which is designed to formulate guidelines for the SF 6 analysis of the diagnosis of the insulation faults of GIS or other SF 6 -insulated equipment.…”

Section: Introductionmentioning

confidence: 99%

Influence Regularity of Aluminum, Copper and Stainless-steel on SF₆ PD Decomposition Characteristics Components

Zeng¹,

Luo²,

Tang³

et al. 2017

Journal of Electrical Engineering and Technology

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-SF 6 decomposition products can be used to detect partial discharge (PD), but the metal materials in a PD area can significantly affect SF 6 decomposition characteristics. Disregarding the effect of metal materials on such characteristics inevitably result in certain errors when using them to diagnose the internal insulation faults of gas-insulated switchgears. This paper investigates the influence regularity on the main stable decomposition components of SF 6 (namely SO 2 F 2 and SOF 2 ) of the commonly metal materials uesd in GIS, such as aluminum (Al), copper (Cu) and stainless steel (SS). Firstly, an experimental platform is constructed to simulate SF 6 decomposition under a PD area, and the influence regularities of Al, Cu and SS on the concentration, formation rate and saturation time of SO 2 F 2 and SOF 2 are obtained. Secondly, the influence mechanism of Al, Cu and SS are preliminary explored combined with the chemical activity of the metal materials.

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“…Most of the previous studies have focused on the influence of discharge energy, electrode material, trace oxygen, and trace water [8][9][10]. Only a few studies have conducted a qualitative research and description on the effect of pressure [11,12].…”

Section: Introductionmentioning

confidence: 99%

Correlation Characteristics Comparison of SF6 Decomposition versus Gas Pressure under Negative DC Partial Discharge Initiated by Two Typical Defects

et al. 2017

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Aimed to clarify the correlation characteristics between the internal partial discharge (PD) in negative direct current (DC) gas insulated system (GIS) and gas pressure initiated by two typical defects (i.e., free-metal particles and metal protrusion), this study on PD decomposition of sulfur hexafluoride (SF 6 ) was investigated under different pressures on the basis of constructing a SF 6 decomposition experimental platform with DC PD. Free-metal particles and metal protrusion in a GIS were simulated using a spherical-bowl electrode and a needle-plate electrode, respectively. Trends and differences in the performance of SF 6 decomposition components SOF 2 , SO 2 F 2 , CO 2, and SO 2 at different pressures were compared and analyzed by experiments under different defects. Based on gas microscopic ionization theory, the relationship between the decomposition component and gas pressure was deduced and verified. The concentrations of different decomposition components were found to vary with the change in gas pressure under different defects, whereas the characteristic ratios of decomposition components versus gas pressure showed a similar trend.

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Correlation analysis between formation process of SF₆ decomposed components and partial discharge qualities

Cited by 127 publications

References 38 publications

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

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

Influence Regularity of Aluminum, Copper and Stainless-steel on SF₆ PD Decomposition Characteristics Components

Correlation Characteristics Comparison of SF6 Decomposition versus Gas Pressure under Negative DC Partial Discharge Initiated by Two Typical Defects

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Correlation analysis between formation process of SF6 decomposed components and partial discharge qualities

Cited by 127 publications

References 38 publications

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

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

Influence Regularity of Aluminum, Copper and Stainless-steel on SF6 PD Decomposition Characteristics Components

Correlation Characteristics Comparison of SF6 Decomposition versus Gas Pressure under Negative DC Partial Discharge Initiated by Two Typical Defects

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Correlation analysis between formation process of SF₆ decomposed components and partial discharge qualities

Influence Regularity of Aluminum, Copper and Stainless-steel on SF₆ PD Decomposition Characteristics Components