@article{10902/32856,
year = {2024},
month = {7},
url = {https://hdl.handle.net/10902/32856},
abstract = {The power transformer is one of the most important and critical assets involved in the grid and, at the same
time, one of the most expensive. Several transformer condition parameters allow to assess the degradation of
assets. These help in the decision-making process on the operation, repair, refurbishment, or replacement of
transformers. Dissolved gas analysis (DGA) is one of the most commonly used methods to manage maintenance and establish the health index of power transformers, as well as to identify the type of fault. This paper examines and explores the studies related to graphical methods for the identification of faults in power
transformers that had been developed over the last almost 50 years. The main types of faults and the sub-types presented in the analysed studies are compiled in this paper. The main differences between the methods in terms of their graphical representation, number of gases used, type of data used from the DGA results, and
number of faults and sub-faults identifiable in each of them, are also presented. The application of the reviewed methods was carried out using two real DGA results.},
organization = {This study was partially funded by the FLEXIGRID project from the European Union’s Horizon 2020 research and innovation programme [grant number 864579].},
publisher = {Elsevier Limited},
publisher = {Renewable and Sustainable Energy Reviews, 2024, 199, 114473},
title = {Evolution of graphical methods for the identification of insulation faults in oil-immersed power transformers: a review},
author = {Bustamante Sánchez, Sergio and Mañana Canteli, Mario and Arroyo Gutiérrez, Alberto and Laso Pérez, Alberto and Martínez Torre, Raquel},
}