Abstract
<p class="zhengwen"><span lang="EN-GB">Accurate fault diagnostics and assessment of electrical power transformer insulation oil for lifelong endurance are the key issues addressed in this research. The durability of a transformer is significantly determined by the quality of its insulation oil, which deteriorates over time due to temperature fluctuations and moisture content. Protecting transformers from potential failure through early and precise diagnosis of faults and through efficient assessment of oil quality during the actual conduct of the operation can avoid sizeable economic losses. The ANFIS Expert System that uses intelligent software plays an important role in this regard. The dissolved gas analysis (DGA) in oil is a reliable method for diagnosing faults and assessing insulation oil quality in transformers. The safeguarding teams of transformer power stations often suffer from the occurrence of sudden faults, which result in severe damages and heavy monetary loss. The oil in transformers must be appropriately treated to circumvent such failures. In this research, an ANFIS Expert System was used to diagnose faults and to assess the status and quality of insulation oil in power transformers. A suitable treatment was identified using the Rogers ratio method depending on the DGA in oil. The graphical user interface from the MATLAB environment was used and proven effective for fault diagnosis and oil quality evaluation. The training algorithm is capable of assessing oil quality according to the specifications of the IEEE standard C57-104 and the IEC standard 60599.</span></p>
Highlights
Electricity has become an important part of human life
The results obtained through the ANFIS Expert System suggest that identifying the status of transformer oil while in service is an important and necessary maintenance step to ensure long-term functioning of the transformer oil
Faults that could not be diagnosed by the Rogers ratio method were diagnosed successfully using the IEC ratio method, and vice versa
Summary
Electricity has become an important part of human life. A suitable method for accurate fault diagnostics and assessment of the oil quality of electrical power transformer is needed to ensure long-term protection. The longevity of a transformer is determined by its insulating quality. Diagnosis of faults and assessment of oil quality are important steps in protecting transformers from operational failures. Several methods were adopted for the diagnosis of faults and for assessing oil quality in transformers; different standards with approved specifications were developed, including the IEEE standard C57-104 and the IEC standard 60599 (Committee et al, 2009; Rogers, 1978). Efficient and precise methods for determining the nature of faults and the subsequent rectification mechanisms that can attain superior performance
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