Abstract

Forecasting the Nature of Power Transformer Insulation Oil using Chemical Properties of Dissolved Gases

Author(s): K. Iyswarya Annapoorani

The life expectancy of transformers at various operating conditions is not accurately known. Deterioration of power transformer insulation is a function of time and temperature. Since in power transformer, the temperature distribution is not uniform, the part which is operating at the highest temperature will ordinarily undergo the greatest deterioration. Therefore, it is usual to consider the effects produced by the highest temperature hottest spot. The hottest-spot winding temperature is the principal factor in determining life due to loading. The temperature cannot be measured directly because of the hazards in placing a temperature detector at the proper location because of voltage. In this paper a neural network based regression analysis was done to forecast the nature of power transformer insulation oil and life time of transformer including loading conditions.


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