Predictive diagnosis of power transformers through dielectric oil analysis
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Abstract
This study examines the state of dielectric oil in power transformers to identify internal problems that could impact their functionality. The primary issue is the degradation of the oil and its impact on electrical insulation, perhaps resulting in partial discharges or severe thermal failures. To resolve this issue, multiple diagnostic techniques were employed, including Dornenburg, Duval Triangle, and Rogers, alongside the examination of dissolved gases and the physical and chemical features of the oil. The methodology involved analyzing ten oil samples to assess the concentrations of gases including acetylene, ethylene, carbon monoxide, and carbon dioxide, along with physicochemical properties such as dielectric strength, power factor, and water content. The results suggested that certain samples reveal indications of partial or low-energy discharges, whilst others demonstrate significant thermal flaws or high-energy discharges. The concordance among the various methodologies employed corroborates the diagnostic reliability and indicates substantial deterioration in specific transformers.
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