Content area

Abstract

Cross-bonded cables improve transmission efficiency by optimizing the grounding method. However, due to the complexity of their grounding system, they are prone to multiple types of defects, making defect state identification more challenging. Additionally, accurately locating sheath damage defects becomes more difficult in cases of high transition resistance. To address these issues, this paper constructs a distributed parameter circuit model for cross-bonded cables and proposes a particle swarm optimization support vector machine (PSO-SVM) defect classification model based on the sheath voltage and current phase angle and amplitude characteristics. This model effectively classifies 25 types of grounding system states. Furthermore, for two types of defects—open joints and sheath damage short circuits—this paper proposes an accurate segment-based location method based on fault impedance characteristics, using zero-crossing problems to achieve efficient localization. The results show that the distributed parameter circuit model for cross-bonded cables is feasible for simulating electrical quantities, as confirmed by both simulation and real-world applications. The defect classification model achieves an accuracy of over 97%. Under low transition resistance, the defect localization accuracy exceeds 95.4%, and the localization performance is significantly improved under high transition resistance. Additionally, the defect localization method is more sensitive to variations in cable segment length and grounding resistance impedance but less affected by fluctuations in core voltage and current.

Details

1009240
Title
Identification and Localization Study of Grounding System Defects in Cross-Bonded Cables
Author
Zhang, Qiying 1 ; Li, Kunsheng 2 ; Chen, Lian 1 ; Luo, Jian 3 ; Zhao, Zhongyong 1   VIAFID ORCID Logo 

 College of Engineering and Technology, Southwest University, Chongqing 400716, China; [email protected] (Q.Z.); 
 Ultra High Voltage Branch of State Grid Chongqing Electric Power Company, Chongqing 400716, China 
 College of Electrical Engineering, Chongqing University, Chongqing 400716, China 
Publication title
Volume
14
Issue
3
First page
622
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
20799292
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-02-05
Milestone dates
2024-12-31 (Received); 2025-02-03 (Accepted)
Publication history
 
 
   First posting date
05 Feb 2025
ProQuest document ID
3165772372
Document URL
https://www.proquest.com/scholarly-journals/identification-localization-study-grounding/docview/3165772372/se-2?accountid=208611
Copyright
© 2025 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.
Last updated
2025-02-12
Database
ProQuest One Academic