Study on the new method of partial discharge locating in transformer

Author(s):  
Shuyi Cheng ◽  
Qing Xie ◽  
Fangcheng Lu ◽  
Lexian Shi ◽  
Haitao Yang
Keyword(s):  
Author(s):  
Yigon Kim ◽  
◽  
Yang Hee Jung ◽  
Yong Chul Bae

Insulation aging diagnosis provides early warning of electrical equipment defects that helps avoid loss from unexpected production line shutdown. Since relations of insulation aging and partial discharge dynamics are nonlinear, it is very difficult to provide early warning in electrical equipment. This paper suggests a new method for diagnosing insulation aging that measures partial discharge on-line from DAS(Data Acquisition System) and acquires 2D patterns from analyzing it using wavelets. Using this data, design of a neurofuzzy model that diagnoses electrical equipment is investigated. Validity of the new method is confirmed by numerical simulation.


2014 ◽  
Vol 628 ◽  
pp. 171-176
Author(s):  
Xiao Hui Song ◽  
Xia Feng ◽  
Zhi Zhong Guo ◽  
Jun Feng Di

This paper presents a new method to locate partial discharge source of transformer single-winding with the transformer single-winding model and Matlab software simulation. This transformer single-winding model is composed of 300m long wire, which is equivalent to the parameter model composed of only capacitors and inductors through the frequency characteristic analysis of transformer winding. In the process of simulation, the bushing and neutral point current of transformer winding are measured when partial discharge occurs in different position. Then we can get position factor related to the current mean and variance measured through calculation, analysis and deduction. Accordingly the position of partial discharge can be found by corresponding relation. This simulation indicates that this method is effective and practical.


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