Evaluation of Dielectric Reliability in Oil-Insulated Transformers Using Scilab: Impact of Temperature and Electric Field Frequency

This article presents a study on the dielectric behavior of insulating oil in power transformers, using Scilab simulations as a primary tool. The research aims to analyze the impact of temperature, electric field frequency, and oil aging on dielectric properties like relative permittivity and dielectric strength. The study is crucial for transformers' operation and lifespan, as deteriorating dielectric properties can lead to failures and costly service interruptions. The study uses Scilab simulation to model and evaluate transformer insulation systems under different conditions, allowing for prediction of performance under different electrical stresses. The results provide valuable insights for transformer design, optimization, and diagnosis, contributing to a better understanding of insulating oil behavior. The findings also offer tools for developing more efficient equipment and implementing predictive maintenance strategies, ensuring continuity of electrical service and minimizing operational costs.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-09-01
Primary Topic
Power Transformer Diagnostics and Insulation
Type
article
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article

Evaluation of Dielectric Reliability in Oil-Insulated Transformers Using Scilab: Impact of Temperature and Electric Field Frequency

SHILAP Revista de lepidopterología
Power Transformer Diagnostics and Insulation
article

Evaluation of Dielectric Reliability in Oil-Insulated Transformers Using Scilab: Impact of Temperature and Electric Field Frequency

article en

Abstract

This article presents a study on the dielectric behavior of insulating oil in power transformers, using Scilab simulations as a primary tool. The research aims to analyze the impact of temperature, electric field frequency, and oil aging on dielectric properties like relative permittivity and dielectric strength. The study is crucial for transformers' operation and lifespan, as deteriorating dielectric properties can lead to failures and costly service interruptions. The study uses Scilab simulation to model and evaluate transformer insulation systems under different conditions, allowing for prediction of performance under different electrical stresses. The results provide valuable insights for transformer design, optimization, and diagnosis, contributing to a better understanding of insulating oil behavior. The findings also offer tools for developing more efficient equipment and implementing predictive maintenance strategies, ensuring continuity of electrical service and minimizing operational costs.

SHILAP Revista de lepidopterología
Openalex Percentile: Top 64%
Power Transformer Diagnostics and Insulation
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