Abstract
Efficient and cost-effective solution for assessment of transformer oil degradation is a great challenge. Transformer oil is subjected to electrical, thermal, and mechanical stresses. The Insulation system degrades due to the stresses and due to the aging. Due to the degradation of insulation various degradation by-products are produced which remains dissolved inside the transformer oil. The 2-FAL (2-Furfuraldehyde) is one of the degradations by products that is produced due to paper insulation degradation. Presence of moisture in oil catalyses degradation of insulation system of the transformer. In this work the concentration of moisture and 2-FAL inside the transformer oil is determined by using the thin film inter-digital (IDT) capacitive sensor. Feasibility of Al <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> O <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf> and ZnO as sensing materials, to detect 2-FAL and moisture in oil, is studied. The proposed capacitive sensor is simulated using Finite element analysis ANSYS Maxwell software to study the suitability of sensing materials and to optimize sensor design and characteristics parameters. The proposed sensor is a low-cost solution for DGA of transformer oil in real time.
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