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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Smart Grids
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1462991
This article is part of the Research Topic Enhancing Resilience in Smart Grids: Cyber-Physical Systems Security, Simulations, and Adaptive Defense Strategies View all 6 articles

Field Strength Prediction of 220kV Cable Oil Terminal Defects Based on Multivariate Nonlinear Regression Model

Provisionally accepted
Zhigang Ren Zhigang Ren 1Wei Guo Wei Guo 1Hongquan Ji Hongquan Ji 1Junwei Geng Junwei Geng 2Jing Cai Jing Cai 3*Yekun Men Yekun Men 1Bo Liu Bo Liu 1
  • 1 State Grid Beijing Electric Power Research Institute, BeiJing, China
  • 2 State Grid Beijing Economics Research Institute, BeiJing, China
  • 3 State Grid Beijing Electric Power Company, Beijing, China

The final, formatted version of the article will be published soon.

    During the installation of a cable oil terminal, it is easy to leave scratches on the main insulation owing to uneven forces when removing the semi-conductive layer. Scratch defects cause field intensity distortion, which leads to partial discharge and insulation failure. This study attempts to establish a simulation model of a 220 kV cable terminal to determine the effect of the length, depth, and position of the scratch on the maximum field strength at the defect. The simulation and experiment demonstrate that the maximum field strength at the defect increases with greater length and decreases as the depth increases. Therefore, a prediction method for the terminal defect field strength based on a multivariate nonlinear regression model was proposed in this study. The maximum field strength at the defect was predicted based on the length, depth, and position of the scratch defect to evaluate the severity of the defect.

    Keywords: Cable oil terminal, Field strength prediction, Multivariate nonlinear regression, Scratch defect of main insulation, The electric field

    Received: 11 Jul 2024; Accepted: 14 Aug 2024.

    Copyright: © 2024 Ren, Guo, Ji, Geng, Cai, Men and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Jing Cai, State Grid Beijing Electric Power Company, Beijing, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.