Application of Extension Theory in Comprehensive Assessment of Transformer Oil-Paper Insulation

Smart Grid ◽  
2021 ◽  
Vol 11 (05) ◽  
pp. 344-352
Author(s):  
子旺 周
Keyword(s):  
Comprehensive Assessment ◽  
Extension Theory ◽  
Transformer Oil ◽  
Paper Insulation

Oil and Paper Insulation for DC Converter Transformer

2017 ◽  
pp. 194-231
Keyword(s):  
Surface Charge ◽  
Electric Fields ◽  
Power Flow ◽  
Heat Transfer Process ◽  
Transformer Oil ◽  
Polarity Reversal ◽  
Bulk Property ◽  
Hvdc System ◽  
Direct Fluorination ◽  
Paper Insulation

Transformer oil and oil-impregnated paper, serve as the essential parts of converter transformer, suffering various electric fields. The accumulation of surface charge on the paper would lead to flashover. When the power flow of the HVDC system is reversed, the charge field will easily lead to discharge. Direct-fluorination is a method which could affect the material property without alternating the bulk property. Besides, a new type of nano-modified transformer oil is a method to improve properties. This chapter presents a study of the effect of fluorination on surface charge behavior, the effect of polarity reversal voltages on interface charge behavior and the effect of Boron nitride (BN) nanoparticles on the high thermal conductivity of transformer oil. Results show that fluorination had an influence on the chemical property of the paper and BN nanoparticles has improvements in heat transfer process. In the polarity reversal test, the dissipation rate becomes smaller as the reversal time gets longer.

The Simulation Study on Transformer Oil-Paper Insulation Polarization Spectrum

2013 ◽  
Vol 385-386 ◽  
pp. 1175-1178
Author(s):  
Jun Qiang Zhang ◽  
Tao Zhao ◽  
Yun Peng Liu
Keyword(s):  
Time Constant ◽  
Simulation Analysis ◽  
Debye Model ◽  
Diagnostic Methods ◽  
Transformer Oil ◽  
Equivalent Model ◽  
Polarization Spectrum ◽  
Paper Insulation ◽  
Transformer Insulation ◽  
Non Destructive

Return voltage diagnostic method is an effective method of non-destructive diagnosis in transformer insulating state. The current study is that through experiments get polarization spectrum to analysis the transformer insulating state, but not yet carried out the influence of various factors to the experimental results. So, based on the Debye model and specific parameters comes from one equivalent model of the actual transformer, this paper using RVM methods to simulation analysis maximum return voltage and dominant time constant under different factors. Simulation results show that the diagnostic methods that combine maximum return voltage value with dominant time constant can preferably reflect the transformer insulation state.

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