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Breakdown Probability, Reliability and Streamer Dynamics in Transformer Oil based Hybrid NanofluidBHATT, M.   , BHATT, P. |
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Author keywords
breakdown voltage, nanoparticles, oil insulation, probability, streamer dynamics
References keywords
transformer(11), nanop(9), nanofluids(9), hybrid(9), thermal(8), nanofluid(8), materials(6), today(5), dielectric(5), technology(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2023-05-31
Volume 23, Issue 2, Year 2023, On page(s): 67 - 74
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2023.02008
Web of Science Accession Number: 001009953400008
SCOPUS ID: 85164362234
Abstract
A contemporary research topic of interest is hybrid nanofluids. The goal of this study is to see how hybrid nanoparticles in transformer oil affect the failure probability, reliability, and streamer dynamics when subjected to massive electrical stress. A 2D axisymmetric hydrodynamic drift-diffusion model is developed to study the streamer dynamics in a hybrid nanofluid with different charging times. Failure probability and reliability for different nanofluids are estimated using the Weibull distribution function. The statistical study reveals that the hybrid nanofluid is more reliable and less dangerous, extending the transformers' service life. When compared to mineral oil and individually dispersed nanoparticles, a homogeneous mixture of Fe3O4 and Al2O3 nanoparticles reduces failure rate by 73.94%, 56.29%, and 30.41%, respectively. For positive streamer dynamics, the influence of altering the charging time of distributed multiple nanoparticles was explored. The dispersion of hybrid nanoparticles in transformer oil has been found to minimize the ionization rate, streamer velocity, and streamer re-ignition rate. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.