Breakdown Voltage Test based on Artificial Neural Network |
Author(s): |
U. Ramani , K.RAMAKRISHNAN COLLEGE OF ENGINEERING; S. Sathieshkumar, K.RAMAKRISHNAN COLLEGE OF ENGINEERING; T. Santhosh Kumar, K.RAMAKRISHNAN COLLEGE OF ENGINEERING; R. Chandraprabha, K.RAMAKRISHNAN COLLEGE OF ENGINEERING; S. Subashree, K.RAMAKRISHNAN COLLEGE OF ENGINEERING |
Keywords: |
Power Transformer, Palm Oil, Coconut Oil, ANN Model |
Abstract |
For electrical engineer everyone says transformer is the heart of the electrical machines. The transformers important part is oil as the cooling medium and generally use oil based oil. The causes of choosing petroleum based oil as transformer oil because it has a good dielectric strength and breakdown voltage cooling performance in the transformer oils. All other renewable energy sources are operated in transformer oil dielectric process. Because transformer cooling process is important in the high voltage transformer oil tests process and also measured the breakdown voltage using transformer oil kit. The existing system apply only one transformer oil test with different temperatures and find out dielectric strength of the transformer oil, measured breakdown voltage with help of PI, Fuzzy logic controller. In the proposed system paper deals with different oil are tested in single phase centre tapped earthed transformer with 230Vand 50Hz supply. These oils are taken to undergo breakdown voltage test with various temperatures using Artificial Neural Network. This network was produce to achieve the target on breakdown voltage range with different oil in various temperatures. |
Other Details |
Paper ID: IJSRDV7I80403 Published in: Volume : 7, Issue : 8 Publication Date: 01/11/2019 Page(s): 354-357 |
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