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Energies 2017, 10(4), 556; doi:10.3390/en10040556

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

1
School of Electrical Engineering, Wuhan University, Wuhan 430072, China
2
Chongqing Electric Power Research Institute, Chongqing Power Company, Chongqing 401123, China
*
Author to whom correspondence should be addressed.
Academic Editor: Issouf Fofana
Received: 17 March 2017 / Revised: 14 April 2017 / Accepted: 17 April 2017 / Published: 18 April 2017
View Full-Text   |   Download PDF [1997 KB, uploaded 26 April 2017]   |  

Abstract

Four typical types of artificial defects are designed in conducting the decomposition experiments of SF6 gas to obtain and understand the decomposition characteristics of SF6 gas-insulated medium under different types of negative DC partial discharge (DC-PD), and use the obtained decomposition characteristics of SF6 in diagnosing the type and severity of insulation fault in DC SF6 gas-insulated equipment. Experimental results show that the negative DC partial discharges caused by the four defects decompose the SF6 gas and generate five stable decomposed components, namely, CF4, CO2, SO2F2, SOF2, and SO2. The concentration, effective formation rate, and concentration ratio of SF6 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 SF6 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. View Full-Text
Keywords: SF6; negative DC-PD; decomposed components; concentration ratio; back propagation neural network; PD recognition SF6; negative DC-PD; decomposed components; concentration ratio; back propagation neural network; PD recognition
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MDPI and ACS Style

Tang, J.; Yang, X.; Ye, G.; Yao, Q.; Miao, Y.; Zeng, F. Decomposition Characteristics of SF6 and Partial Discharge Recognition under Negative DC Conditions. Energies 2017, 10, 556.

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