Model-Based Location of Segmental Aging for Underground Power Cables in Distribution Grids

Yang Wu; Yanyong Yang; Pinjia Zhang

doi:10.17775/CSEEJPES.2022.01310

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Model-Based Location of Segmental Aging for Underground Power Cables in Distribution Grids

Regular Papers | 更新时间：2026-04-16

- Model-Based Location of Segmental Aging for Underground Power Cables in Distribution Grids
- CSEE Journal of Power and Energy Systems Vol. 12, Issue 2, Pages: 1029-1040(2026)
- 作者机构：
  
  1. Department of Electrical Engineering, Tsinghua University,Beijing,China
  2. Department of Energy, Aalborg University, Aalborg,Denmark
  3. Department of Electrical Engineering, Beihang University,Beijing,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2022.01310
  CLC：
- Published：2026
- 稿件说明：
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Yang Wu, Yanyong Yang, Pinjia Zhang. Model-Based Location of Segmental Aging for Underground Power Cables in Distribution Grids[J]. CSEE Journal of Power and Energy Systems, 2026, 12(2): 1029-1040.
DOI：

Yang Wu, Yanyong Yang, Pinjia Zhang. Model-Based Location of Segmental Aging for Underground Power Cables in Distribution Grids[J]. CSEE Journal of Power and Energy Systems, 2026, 12(2): 1029-1040. DOI： 10.17775/CSEEJPES.2022.01310.

摘要

Abstract

Power cable in distribution grids usually operates in nonuniform environments

leading to segmental aging of cable insulation. Location of segmental aging is highly desirable for early maintenance of power distribution grids

which can avoid severe insulation faults and improve system reliability. In this paper

a novel segmental aging location method based on voltage and leakage current measurements under multi-frequency common-mode (CM) monitoring signal injection is proposed. Segmental aging models for various types of cables are first developed

and a model-based location algorithm of segmental aging is then designed. Comprehensive simulations and case studies in PSCAD/EMTDC are conducted to prove the effectiveness of the proposed method. Compared with existing approaches

the proposed method achieves more accurate location of aging accounting for various measurement noises

parameter uncertainties

and distribution grid structures.

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Related Institution

High Voltage Lab, Southwest Jiaotong University

Institute of Distribution Network and Automation, School of Electrical Engineering and Automation, Fuzhou University

Department of Measurement & Control, School of Electrical Engineering, Xi'an Jiaotong University

State Key Laboratory of Electrical Insulation & Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University

Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua Shenzhen International Graduate School Tsinghua University

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