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All Journal International Journal of Electrical, Energy and Power System Engineering (IJEEPSE)
Negara, Pande Putu Priyanithi Dharsania
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy

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Medium Voltage Cable Health Index Integrating Diagnostic Data and Feeder Load for Reliability Assessment Negara, Pande Putu Priyanithi Dharsania; Sudiarto, Budi
International Journal of Electrical, Energy and Power System Engineering Vol. 9 No. 1 (2026): The International Journal of Electrical, Energy and Power System Engineering (I
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ijeepse.9.1.25-38

Abstract

Reliable operation of medium-voltage (MV) distribution networks depends strongly on the condition of XLPE-insulated cable systems. However, existing diagnostic methods, including Partial Discharge (PD), Tan Delta (TD), and Very Low Frequency (VLF) testing, are typically interpreted in isolation, limiting their relevance to operational decision-making. This study develops a unified Health Index (HI) framework that integrates these three diagnostic parameters with feeder loading data under real field conditions. Using Min–Max normalization and dual weighting schemes, the model was applied to 33 cable segments in a tropical MV distribution network. HI values were statistically correlated with the System Average Interruption Duration Index (SAIDI) and Energy Not Supplied (ENS). Results show that the dielectric-oriented weighting scheme yields stronger correlation with SAIDI (r = 0.967, p < 0.05), while equal weighting enhances sensitivity to ENS. Although feeder loading contributes to degradation exposure, intrinsic insulation condition remains the primary determinant of health classification. High-risk segments are consistently identified under both schemes, confirming the structural robustness of the model. The proposed framework provides an empirically validated foundation for condition-based and risk-based asset management in MV distribution systems.
Co-Authors Budi Sudiarto