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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

This article presents the recent developments in the field of evaluation of the breakdown performance and remaining lifetime of XLPE insulation and analyzes the accuracy of existing lifetime prediction models through experiments. The effects of the crystalline morphology, cable thickness and sampling location of XLPE insulation on the evaluation of short-term breakdown performance are reviewed in the context of the experiments. The study reviews the application of the Ramu, Simoni, and Ramu multi-stress lifetime prediction models and explores the other remaining lifetime prediction models under the combined electrothermal stresses which are applicable to XLPE insulation. Finally, this paper recommends the most effective engineering evaluation methods and provides suggestions for improving the electrical performance of XLPE insulation for high-voltage cables.

Details

Title
Breakdown Performance Evaluation and Lifetime Prediction of XLPE Insulation in HVAC Cables
Author
Li, Zhonglei 1   VIAFID ORCID Logo  ; Dong, Yuming 1 ; Wu, You 1 ; Meng, Zhengzheng 2 ; Song, Pengxian 2 ; Zhu, Mingzheng 2 ; Xu, Li 2 ; Du, Boxue 1   VIAFID ORCID Logo 

 Key Laboratory of Smart Grid of Ministry of Education, School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China; [email protected] (Z.L.); [email protected] (Y.D.); [email protected] (Y.W.) 
 Electric Power Research Institute, State Grid Tianjin Electric Power Company, Tianjin 300384, China; [email protected] (Z.M.); [email protected] (P.S.); [email protected] (M.Z.); [email protected] (X.L.) 
First page
1337
Publication year
2024
Publication date
2024
Publisher
MDPI AG
e-ISSN
19961073
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3001175983
Copyright
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.