Real-time dry-type transformer aging evaluation

2017

Closed access Metadata (CSL-JSON)
DOI 10.23919/iseim.2017.8166548
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

Dry-type transformers are quite popular in commercial and industrial applications. The IEEE and IEC standards on dry-type transformer loading provide a significant guideline and recommendation for transformer aging rate calculation. In this study, the fundamental information in these standards are used to develop a real-time dry-type transformer thermal model and evaluate transformer insulation performance in different conditions. Thermal model of the transformer can help to determine proper transformer operation condition, transformer aging rate, and approximately demonstrate transformer lifespan. Simulation studies show that increasing of transformer load and ambient temperature sampling frequency rates will lead to the increase of the accuracy of aging rate calculation and more precise lifespan estimation.