Further integrated physical and probabilistic modelling of low voltage cable degradation with a view to future technologies and asset management strategies

This paper presents an updated novel, modular approach for modelling the risk of imminent expiry of underground low voltage (LV) cables. This methodology returns a probabilistic measure of cable damage which can be used to identify cables most at risk of faults prior to any physical investigation. Building on previous work, models have been generalised and refined to better reflect real LV networks in several ways. The general approach can be applied to assess the benefit of various load monitoring efforts or alternative maintenance strategies. This can facilitate an efficient, proactive approach to managing an increasingly serious problem for DNOs, as the rising uptake of low carbon technologies (LCTs) is expected to increase LV cable fault and expiry rates. Several of the models developed within this modelling framework may also be of much broader use in physical and probabilistic power system modelling.

Authors

Institutions

Publication Details

Journal
IET conference proceedings.
Published
2025-10-14
DOI
https://doi.org/10.1049/icp.2025.1683
Primary Topic
Electrical Fault Detection and Protection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Further integrated physical and probabilistic modelling of low voltage cable degradation with a view to future technologies and asset management strategies

Rosemary Tawn, Ben Ingham, C. E. J. Watt, Gruffudd Edwards et al.
IET conference proceedings.
Electrical Fault Detection and Protection
article

Further integrated physical and probabilistic modelling of low voltage cable degradation with a view to future technologies and asset management strategies

Rosemary Tawn, Ben Ingham, C. E. J. Watt, Gruffudd Edwards, Gordon McFadzean, M A Taylor, Graeme Horne, Ruth Augarde, Delroy Ainsworth
article en

Abstract

This paper presents an updated novel, modular approach for modelling the risk of imminent expiry of underground low voltage (LV) cables. This methodology returns a probabilistic measure of cable damage which can be used to identify cables most at risk of faults prior to any physical investigation. Building on previous work, models have been generalised and refined to better reflect real LV networks in several ways. The general approach can be applied to assess the benefit of various load monitoring efforts or alternative maintenance strategies. This can facilitate an efficient, proactive approach to managing an increasingly serious problem for DNOs, as the rising uptake of low carbon technologies (LCTs) is expected to increase LV cable fault and expiry rates. Several of the models developed within this modelling framework may also be of much broader use in physical and probabilistic power system modelling.

IET conference proceedings.Vol. 2025(14)
Glasgow Life (GB), Electricity North West (United Kingdom) (GB)
Openalex Percentile: Top 71%
Electrical Fault Detection and Protection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.