Cheng Pan

By Xiaoxing Zhang, Song Xiao, Ju Tang and Cheng Pan

The detection and analysis of SF6 decomposition components are of great significance in online condition assessment and fault diagnosis of GIS. Considering the shortcomings of general detection methods, carbon nanotubes (CNTs) gas sensor was studied to detect the SF6 decomposition components because of its advantages in large surface activity and abundant pore structure, et al. The large surface area has a strong adsorption and desorption capacity. In this chapter, SF6 decomposed gases, namely SO2F2, SOF2, SO2, H2S and CF4 are chosen as probe gases because they are the main by-products in the decomposition of SF6 under partial density (PD). First, the properties and preparation methods of CNTs are introduced to verify the advantages of CNTs for SF6 decomposition components detection. Then, both theoretical calculation and sensing experiment were adopted to study the microadsorption mechanism and macrogas-sensing properties. Based on the intrinsic CNTs, study for SF6 decomposition components adsorption, Pd, Ni, Al, Pt and Au metal doping CNTs and plasma-modified CNTs are discussed in order to enhance the gas sensing and selectivity of CNTs.

Part of the book: Nanomaterials Based Gas Sensors for SF6 Decomposition Components Detection

By Xiaoxing Zhang, Ju Tang, Song Xiao and Cheng Pan

Graphene is an allotrope of carbon apart from graphite, diamond, fullerene and carbon nanotubes. Because graphene has unique mechanical, structural, thermal and electrochemical properties and can present the stability characteristics of these features, it becomes two‐dimensional (2‐d) materials which can alter three‐dimensional (3‐d) carbon nanotubes composite materials and has important research value. Pristine graphene and graphene films doped with Au nanoparticles were synthesized by the chemical reduction method. Their corresponding gas sensors were both fabricated by the traditional drop coating method and then used as an adsorbent for the detection of H2S, SO2, SOF2 and SO2F2 at room temperature. Theoretical simulation was also investigated when the decomposed gaseous components of sulfur hexafluoride (SF6), namely, H2S, SO2, SOF2 and SO2F2, were adsorbed on pristine and Au‐embedded graphene based on DFT. In order to interpret the adsorption processes between Au‐doped graphene and gas molecules, this chapter discussed the charge transfer mechanism on the adsorption surface for further investigation.

Part of the book: Nanomaterials Based Gas Sensors for SF6 Decomposition Components Detection

By Cheng Pan, Ju Tang and Fuping Zeng

Partial discharge (PD), a type of low-temperature plasma, indicates a discharge event that does not bridge the electrodes of an electrical insulation system under high voltage stress. It is common in power equipment, such as transformers, cables, gas-insulated switchgears, and so on. The occurrence of PD could deteriorate the insulation performance of the equipment, but, meanwhile, it is often used to diagnose the insulation status. Therefore, it is very necessary to clarify the PD mechanism, and through modeling the PD process, a better understanding of the phenomenon could be attained. Although PD is essentially a gas discharge phenomenon, it possesses some distinctive features, for example, very narrow discharge channel, short time duration, and stochastic behavior, which determine the simulation method of PD different from that for the other types of plasmas. This chapter seeks to propose a simulation method that could reflect the physical processes of PD development after introducing some background knowledge about PD and analyzing the shortcomings of existent models.

Part of the book: Plasma Science and Technology

By Fuping Zeng, Ju Tang, Xiaoxing Zhang, Siyuan Zhou and Cheng Pan

Gas-insulated switchgear (GIS) is a common electrical equipment, which uses sulfur hexafluoride (SF6) as insulating medium instead of traditional air. It has good reliability and flexibility. However, GIS may have internal defects and partial discharge (PD) is then induced. PD will cause great harm to GIS and power system. Therefore, it is of great importance to study the intrinsic characteristics and detection of PD for online monitoring. In this chapter, typical internal defects of GIS and the PD characteristics are discussed. Several detection methods are also presented in this chapter including electromagnetic method, chemical method, and optical method.

Part of the book: Simulation and Modelling of Electrical Insulation Weaknesses in Electrical Equipment