Indentification of Internal Fault in Distribution Transformer using DGA |
Author(s): |
| Prof. Henal P. Bhagatwala , Vadodara Institute of Engineering |
Keywords: |
| Acetylene Methane, Carbon Monoxide, Carbon Dioxide, Dissolved Gas Analysis, Ethylene, Ethane, Key Gasses, Hydrogen |
Abstract |
|
Distribution transformer insulation aging diagnosis is necessary for all the situation assessment Dissolved gas analysis (DGA) is one of the mainly helpful techniques and tools to detect the incipient faults in large oil filled transformers. DGA is most helpful condition monitoring technique as primary diagnosis method for detecting the incipient fault in oil filled transformer in this paper used MATLAB programming to detecting present transformer condition according to Dissolved gasses in transformer oil as per IEC and IEEE Gas ratio code. It also describes the structure and specific features of transformer insulation aging diagnosis base IEC codes and Rogers's ratio technique. MATLAB programs using these two methods were developed to automate. As well this paper present three fault category, partial discharges (PD), arc discharges, and thermal faults and winding circulate current. |
Other Details |
|
Paper ID: IJSRDV6I30057 Published in: Volume : 6, Issue : 3 Publication Date: 01/06/2018 Page(s): 180-182 |
Article Preview |
|
|
|
|
