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10010457
An Implementation of Fuzzy Logic Technique for Prediction of the Power Transformer Faults
Abstract:
Power transformers are the most crucial part of power electrical system, distribution and transmission grid. This part is maintained using predictive or condition-based maintenance approach. The diagnosis of power transformer condition is performed based on Dissolved Gas Analysis (DGA). There are five main methods utilized for analyzing these gases. These methods are International Electrotechnical Commission (IEC) gas ratio, Key Gas, Roger gas ratio, Doernenburg, and Duval Triangle. Moreover, due to the importance of the transformers, there is a need for an accurate technique to diagnose and hence predict the transformer condition. The main objective of this technique is to avoid the transformer faults and hence to maintain the power electrical system, distribution and transmission grid. In this paper, the DGA was utilized based on the data collected from the transformer records available in the General Electricity Company of Libya (GECOL) which is located in Benghazi-Libya. The Fuzzy Logic (FL) technique was implemented as a diagnostic approach based on IEC gas ratio method. The FL technique gave better results and approved to be used as an accurate prediction technique for power transformer faults. Also, this technique is approved to be a quite interesting for the readers and the concern researchers in the area of FL mathematics and power transformer.
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References:

[1] Rahmat-Allah Hooshmand and Mahdi Banejad, “Fuzzy Logic Application in Fault Diagnosis of Transformers Using Dissolved Gases,” Journal of Electrical Engineering & Technology, Vol. 3, No. 3, pp. 293~299, 2008.
[2] N. K. Dhote, J. B. Helonde, "Diagnosis of Power Transformer Faults based on Five Fuzzy Ratio Method "WSEAS TRANSACTIONS on Power Systems, Issue 3, Volume 7, July 2012.
[3] Fatih Atalar and Ayten Kuntman, "Diagnosis of power transformers faults using fuzzy logic method". National Conference on Electrical, Electronics and Biomedical Engineering (ELECO). 1-3 Dec. 2016 Bursa, Turkey.
[4] Dawange Manisha Vishnu, Prof. P. D. Kulkarni, “Identification Of Transformer Incipient Faults By Using Fuzzy Logic-IEC Based 3 Gas Ratio Method” International Journal of Science, Engineering and Technology Research (IJSETR) Volume 6, Issue 1, January 2017.
[5] Zakir Husain, “Fuzzy Logic Expert System for Incipient Fault Diagnosis of Power Transformers”, International Journal on Electrical Engineering and Informatics - Volume 10, Number 2, June 2018.
[6] Edwell T. Mharakurwa, G. N. Nyakoe, and A. O. Akumu, " Power Transformer Fault Severity Estimation Based on Dissolved Gas Analysis and Energy of Fault Formation Technique ", Journal of Electrical and Computer Engineering-Volume 2019, Article ID 9674054, 10 pages https://doi.org/10.1155/2019/9674054.
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