Transformer is one of the most crucial and expensive part of the power system. Any failure in its components may cause major loss to the economy of a country. The healthy operation of the transformer actually ensures the reliable and secure operation of the power system. Keeping in mind the importance of the transformer, this study mainly focuses on the online health monitoring of the transformer in order to detect the fault in its initial stages. This study provides cost effective, real time online monitoring system for the health of the transformer. Real-time data of the transformer is recorded through phasor measurement unit (PMU). Signal to noise ratio (SNR) of voltage and current of the transformer has been calculated. The width of signal to noise ratio is employed as an indicator for the occurrence of fault in the transformer. When transformer operates in its normal conditions the width of SNR band is small, when fault occurs in the transformer the width of SNR band starts to increase. As fault in the transformer continues to increase the width of SNR also increases. Thus this technique can help the transformer operators to take significant steps in order to mitigate the fault before major accidents.
Shazmina Jamil Aehtsham-Ul-Haq “Analysis of Health of Transformer Using Different Loading Conditions” International Journal of Engineering Works Vol. 8 Issue 01 PP. 31-36 January 2021 https://doi.org/10.34259/ijew.21.8013136.
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