Development of Power Transformer Remaining Life Model Using Multi-Parameters

Power transformer is considered to be important and costly equipment in electrical power delivery. The years of operation may decrease the condition faster than the design life. For that reason, predicting the remaining life of the asset is essential. Power transformer oil-paper insulation is the main concern for remaining life assessment. Extended studies have been done to predict the remaining life through its paper condition as the ageing is known to be irreversible. However, only a few have proposed the evaluation of remaining life through multi-parameter assessment. Therefore, this paper aims to benefit the previously developed Health Index (HI) to evaluate power transformer expected remaining life. A population of 150 kV transformers was employed to develop the model, and forty-nine out-of-service transformers data were used to be formulated as the replacement criterion. The model development as well as case studies is presented in this paper.