A review on a novel method for aging evaluation of transformer insulating paper based on methanol

Abstract

The insulation paper is a crucial factor for evaluating the insulation status of transformers. The traditional evaluation methods for insulation paper are dissolved gas component content analysis (CO and CO 2 ) and furfural (2-FAL) content analysis in oil. The detection principle of the former leads to its low accuracy, while the field application effect of the latter is not ideal due to the easy oxidation of furfural and low content. Methanol, result of its good stability and high production compared with other marker products (CO, CO 2 , 2-FAL) has been investigated as a novel marker for aging evaluation of transformer insulating paper in recent years. The results of the investigation indicated that there is a good correlation between the content of methanol in oil and the degree of polymerization under laboratory conditions, which reflected the insulation aging state of the transformer insulating paper more accurately. This paper summarizes the current research status of methanol formation mechanism, detection methods and aging evaluation in insulating oil, and points out the key problems to be solved and development prospects, hoping to provide relevant reference for aging evaluation of oil immersed power transformer.

Analyzing Transformer Insulation Paper Prognostics and Health Management: A Modeling Framework Perspective

“…The degradation of solid insulation among other transformer-insulating components remains the primary cause behind the ultimate failure of power transformers. As a result, assessing the state of paper insulation has become an established measure of the power transformer's health condition [3]. Also, according to IEEE, the lifetime models of solid insulation can be used for reliability assessment and health monitoring for power transformers [4].…”

Real‐time monitoring of transformer hot‐spot temperature based on nameplate data

“…The aging rate of the paper insulation around the winding is calculated as a function of pyrolysis (heating), hydrolysis, and oxidation with the hot-spot temperature being the influential factor, by which the loss of life is estimated during a certain period of operation of the transformer [1][2][3]. Therefore, it is crucial to maintain the hot-spot temperature within the desired limits and for this reason, many strategies for hot-spot detection have been described in the literature.…”