An improved physical-stochastic model for simulating electrical tree propagation in solid polymeric dielectrics

Rodríguez Serna, Johnatan Mauricio and Albarracín Sánchez, Ricardo and Carrillo Ramiro, Isabel (2020). An improved physical-stochastic model for simulating electrical tree propagation in solid polymeric dielectrics. "Polymers", v. 12 (n. 8); pp. 1768-1784. ISSN 2073-4360. https://doi.org/10.3390/polym12081768.

Description

Title: An improved physical-stochastic model for simulating electrical tree propagation in solid polymeric dielectrics
Author/s:
  • Rodríguez Serna, Johnatan Mauricio
  • Albarracín Sánchez, Ricardo
  • Carrillo Ramiro, Isabel
Item Type: Article
Título de Revista/Publicación: Polymers
Date: August 2020
ISSN: 2073-4360
Volume: 12
Subjects:
Freetext Keywords: Electrical tree propagation; Epoxy resin; Physical-stochastic models; Insulation ageing; Dielectric breakdown
Faculty: E.T.S.I. Diseño Industrial (UPM)
Department: Ingeniería Eléctrica, Electrónica Automática y Física Aplicada
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The dielectric breakdown of solid polymeric materials is due to the inception and propagation of electrical trees inside them. The remaining useful life of the solid dielectrics could be determined using propagation simulations correlated with non-intrusive measurements such as partial discharges (PD). This paper presents a brief review of the different models for simulating electrical tree propagation in solid dielectrics. A novel improved physical-stochastic model is proposed, which allows quantitatively and qualitatively analyzing the electrical tree propagation process in polymeric dielectrics. Simulation results exhibit good agreement with measurements presented in the literature. It is concluded that the model allows adequately predicting the tree propagation behavior and additional experimental analyses are required in order to improve the model accuracy.

More information

Item ID: 67361
DC Identifier: http://oa.upm.es/67361/
OAI Identifier: oai:oa.upm.es:67361
DOI: 10.3390/polym12081768
Official URL: https://www.mdpi.com/2073-4360/12/8/1768
Deposited by: Memoria Investigacion
Deposited on: 11 Jun 2021 06:32
Last Modified: 11 Jun 2021 06:32
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