Breakdown Probability, Reliability and Streamer Dynamics in Transformer Oil based Hybrid Nanofluid

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.

Keywords

• breakdown voltage
• nanoparticles
• oil insulation
• probability
• streamer dynamics