Insulation Resistance Degradation Models of Extruded Power Cables under Thermal Ageing

Xufei Ge, Fulin Fan (), Martin J. Given and Brian G. Stewart ()
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Xufei Ge: Institute for Energy and Environment, University of Strathclyde, Glasgow G1 1XW, UK
Fulin Fan: Institute for Energy and Environment, University of Strathclyde, Glasgow G1 1XW, UK
Martin J. Given: Institute for Energy and Environment, University of Strathclyde, Glasgow G1 1XW, UK
Brian G. Stewart: Institute for Energy and Environment, University of Strathclyde, Glasgow G1 1XW, UK

Energies, 2024, vol. 17, issue 5, 1-22

Abstract: Insulation resistance (IR) is an essential metric indicating insulation conditions of extruded power cables. To deliver reliable IR simulation as a reference for practical cable inspection, in this paper, four IR degradation models for cross-linked polyethylene-insulated cables under thermal ageing are presented. In addition, the influences of methodologies and temperature profiles on IR simulation are evaluated. Cable cylindrical insulation is first divided into sufficiently small segments whose temperatures are simulated by jointly using a finite volume method and an artificial neural network to model the thermal ageing experiment conditions. The thermal degradation of IR is then simulated by dichotomy models that randomly sample fully degraded segments based on an overall insulation (layer) ageing condition estimation and discretization models that estimate the gradual degradation of individual segments, respectively. Furthermore, uniform and non-uniform temperature profiles are incorporated into dichotomy and discretization models, respectively, for a comparison. The IR simulation results are not only compared between different models, but also discussed around the sensitivity of IR simulation to segment sizes and degradation rates. This provides cable assessment engineers with insights into model behaviour as a reference for their selection of appropriate IR degradation models.

Keywords: extruded power cables; insulation resistance; thermal ageing; dichotomy models; discretization models; insulation temperature profiles (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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