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Partial Discharge-Based Cable Vulnerability Ranking with Fuzzy and FAHP Models: Application in a Danish Distribution

Mohammad Reza Shadi¹, Hamid Mirshekali¹, Hamid Reza Shaker¹

¹SDU Center for Energy Informatics, Maersk Mc-Kinney Moeller Institute, The Faculty of Engineering, University of Southern Denmark, 5230 Odense, Denmark.

Sensors (Basel, Switzerland)

|September 19, 2025

Summary

This study introduces a new method for prioritizing underground cable replacements using fuzzy logic and fuzzy analytic hierarchy process (FAHP). It combines cable age and partial discharge (PD) data for more accurate condition-based assessments.

Keywords:

Monte Carlo simulation Spearman correlation asset management cable replacement condition-based maintenance fuzzy analytic hierarchy process partial discharge

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Area of Science:

Electrical Engineering
Power Systems Analysis
Asset Management

Background:

Aging underground cables present significant risks in power distribution systems.
Current age-based replacement strategies are insufficient for assessing real cable condition.
Partial discharges (PDs) are critical early indicators of insulation degradation.

Purpose of the Study:

To develop a robust framework for ranking underground cable vulnerability based on condition.
To manage uncertainty in cable age and PD data for improved maintenance decisions.
To provide a cost-effective, data-driven approach for prioritizing cable replacements.

Main Methods:

Implementation of a fuzzy logic and fuzzy analytic hierarchy process (FAHP) framework.
Integration of basic data: cable age and partial discharge (PD) measurements (peak values, event counts).
Validation using Monte Carlo simulations, Spearman correlation analysis, and real-world operational data.

Main Results:

The proposed FAHP-based framework effectively ranks cable vulnerability under uncertainty.
The method provides robust and consistent outcomes, improving upon traditional age-based strategies.
Demonstrated effectiveness using data from a Danish distribution network and synthetic PD data.

Conclusions:

The FAHP framework offers a reliable solution for condition-based cable maintenance prioritization.
This approach supports utilities in making more informed and economical decisions for asset management.
The study highlights the importance of integrating PD data with cable age for accurate vulnerability assessment.