Power Transformer Condition Assessment Using Oil UV - Spectrophotometry
MetadataShow full item record
Copyright © 2008 IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Power transformers are considered critical equipment in an electric power transmission system. Electric utilities worldwide are now focusing on reliability centered maintenance of their assets for extended life and hence maximum return on investment. Recent utility survey shows that a large proportion of transformers has attained their designed life and is operating close to their nameplate rating or beyond. The load growth is compounding this problem on the existing transformers due to fewer extension projects, market deregulation and economic constraints. Diagnostics and proper monitoring plays key role in the life expectancy of a power transformer. Mineral oil in transformer is the inseparable component of the dielectric insulation system. The various contamination levels in oil can be examined and verified using UV-Spectrometry. The UV-spectrum analyzes the oil, qualitatively and quantitatively with respect to the contamination present in it and interprets dielectric response of the insulation system. The oil gets contaminated mainly due to the aging. Moisture, sludge, acids, metal particles and other compounds are produced due to aging insulation (mainly cellulose) which changes the oil chemical and physical properties. Accurate interpretation of the UV-Spectrophotometry and comparison with the past test signature provides sufficient assessment of power transformer insulation condition and predicts it's aging phenomena. This paper presents power transformer's dielectric response and aging assessment using oil contamination level identification with UV-Spectrometry measurements.
Showing items related by title, author, creator and subject.
Cui, H.; Yang, L.; Li, S.; Abu-Siada, Ahmed; Yan, W.; Qu, G.; Li, S.; Zhu, Y.; Yue, W. (2018)© 2018 IEEE. With the rapidly increasing demand for electric power in society, power transformers are expected to exhibit more stresses that accelerate the process of insulation system degradation. However, the effect of ...
Forouhari, S.; Abu-Siada, Ahmed (2015)Power transformer is a key asset in any electrical transmission or distribution network. As a significant number of the global power transformers have reached the end of their expected designed life, utilities have given ...
Application of adaptive neuro fuzzy inference system to support power transformer life estimation and asset management decisionForouhari, Saleh; Abu-Siada, Ahmed (2018)Power transformer is a critical asset in electrical transmission and distribution networks that need to be carefully monitored during its entire operational life. Considering the fact that a significant number of worldwide ...