Analysis of Life Cycle Characteristics of Power Transformer Based on Linear Regression

Abstract

How to determine the insulation status of transformers reasonably which is very important for the life management of transformers. Electrical data, oil Chromatograph data and oil test data are important parameters for measuring the insulation state of transformer. In this paper, the relationship between electrical, chromatographic and oil test data and transformer operating years in production operation is analyzed by means of regression analysis and hypothesis testing. The results show that the relationship between the absorption ratio, oil breakdown voltage and hydrogen hydrocarbon content is very weak between the operation years of the transformer and the CO and CO2 gas content is strictly related to the operation years of the transformer. The former mainly reflects the insulation performance of transformer oil, and can effectively identify the integral fault of transformer, but it cannot effectively reflect the residual life of transformer by the influence of filter oil and oil transfer. The latter reflects the state of transformer solid insulation and is an old characteristic of transformer life prediction. An example verifies the validity of the above conclusion.