Health Assessment of Oil Immersed Transformer Using Fuzzy Logic
DOI:
https://doi.org/10.37591/.v5i3.3085Abstract
A transformer is an electrical device that transfers energy between two or more circuits through electromagnetic induction. Commonly, transformers are used to increase or decrease the voltages of alternating current in electric power applications. Mineral oil treats heart of the transformer, its functions are to insulate, suppress corona and arcing, and to serve as a coolant. The oil helps cool the transformer. Because it also provides part of the electrical insulation between internal live parts, transformer oil must remain stable at high temperatures for an extended period. An important factor that allows power utilities to enhance the performance of their transformers is knowledge about the health condition of a transformer, which is important for improving reliability and assisting in the determination of appropriate asset management decisions, such as the identification of transformers that could benefit from life extension measures and those that need immediate replacements. The overall health of the transformer is presented by the health index by considering the interaction between different condition monitoring tests. The paper deals with DGA, UV-Vis, IFT, FP, BDV and water content. UV/VIS results have been pre-accessed using separate FL controller for concluding with the Furan compounds. It is broadly accepted that the life of a power transformer is the life of the oil/paper insulating system. The method relies on the use of furan analysis (insulation paper), and other oil analysis results as a means to declare health index. The testing is done on 5 samples of oil of transformers of rating 132/220 kV to obtain the results and results are analyzed using fuzzy logic model. Fuzzy logic system is used to develop the information system. Further, simulation has been done to obtain the model to evaluate health index.
Keywords: Dissolved gas analysis (DGA), interfacial tension analyzer (IFT), ultravoilet-visible spectroscopy(UV-Vis), fuzzy inference system (FIS), fuzzy logic (FL)
Downloads
Published
Issue
Section
License
Journal Title:
Title of the Paper:
Corresponding Author’s Information:
Name: Address:
E-mail:
Contact Number:
It is herein agreed that: The copyright to the above-listed unpublished and original article is transferred to STM Journals.
This copyright transfer covers the exclusive right to reproduce and distribute the contribution, including reprints, translations, photographic reproductions, microform, electronic form (offline, online), or any other reproductions of similar nature.
I/We declare that above manuscript is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.
I/ We warrant(s) that his/her/their contribution is original, except for such excerpts from copyrighted works as may be included with the permission of the copyright holder and author thereof, that it contains no libelous statements, and does not infringe on any copyright, trademark, patent, statutory right, or propriety right of others.
I/We will not publish his/her/their above said contribution anywhere else without the prior written permission of the publisher unless it has been changed substantially. I/We also agree to the authorship of the article in the following order: Author(s) Name Signature(s)
1. ________________
2. ________________
3. ________________
4. ________________
The author(s) agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal (comments if any to the editor can be added below).
