TY - GEN
T1 - Key Operation-Maintenance Indicators for HV XLPE Cable Aging
AU - Zhong, Wenxin
AU - Kang, Tianxiang
AU - Li, Huachun
AU - Pan, Zehua
AU - Wu, Kangning
AU - Li, Jianying
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - With the widespread application of high-voltage cross-linking polyethylene (XLPE) cables in power systems, the issue of cable aging has become increasingly prominent, posing a direct threat to the safe and stable operation of the power grid. This paper proposes a method for constructing a strongly correlated operation and maintenance index system to address the problem of high-voltage cable aging. Firstly, cable online monitoring and operation data were extracted from the lean management platform as evaluation indicators, including service life, load current, grounding current, fault history, infrared thermography, appearance, and laying methods. Secondly, quantitative and descriptive indicators were analyzed using the fuzzy evaluation method and expert scoring method. Finally, based on correlation analysis, feature parameters strongly correlated with cable aging were selected to construct a strongly correlated operation-maintenance index system for high-voltage cable aging. This system provides a scientific basis for refined operation and maintenance of high-voltage cables, thereby enhancing reliability and extending service life.
AB - With the widespread application of high-voltage cross-linking polyethylene (XLPE) cables in power systems, the issue of cable aging has become increasingly prominent, posing a direct threat to the safe and stable operation of the power grid. This paper proposes a method for constructing a strongly correlated operation and maintenance index system to address the problem of high-voltage cable aging. Firstly, cable online monitoring and operation data were extracted from the lean management platform as evaluation indicators, including service life, load current, grounding current, fault history, infrared thermography, appearance, and laying methods. Secondly, quantitative and descriptive indicators were analyzed using the fuzzy evaluation method and expert scoring method. Finally, based on correlation analysis, feature parameters strongly correlated with cable aging were selected to construct a strongly correlated operation-maintenance index system for high-voltage cable aging. This system provides a scientific basis for refined operation and maintenance of high-voltage cables, thereby enhancing reliability and extending service life.
KW - aging
KW - correlation analysis
KW - high-voltage cross-linking polyethylene cables
KW - operation-maintenance index system
UR - https://www.scopus.com/pages/publications/105015682809
U2 - 10.1109/ICEMPE66159.2025.11122935
DO - 10.1109/ICEMPE66159.2025.11122935
M3 - 会议稿件
AN - SCOPUS:105015682809
T3 - 2025 IEEE 5th International Conference on Electrical Materials and Power Equipment, ICEMPE 2025
BT - 2025 IEEE 5th International Conference on Electrical Materials and Power Equipment, ICEMPE 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Conference on Electrical Materials and Power Equipment, ICEMPE 2025
Y2 - 3 August 2025 through 6 August 2025
ER -