Probabilistic cable rating based on cable thermal environment studying

Zhao, Huachun, Lyall, Jim, & Nourbakhsh, Ghavameddin (2000) Probabilistic cable rating based on cable thermal environment studying. In Proceedings of Powercon 2000 : International Conference on Power System Technology, Perth, W. A.

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Abstract

This paper describes a new approach to establish the probabilistic cable rating based on cable thermal environment studies. Knowledge of cable parameters has been well established. However the environment in which the cables are buried is not so well understood. Research in Queensland University of Technology has been aimed at obtaining and analysing actual daily field values of thermal resistivity and diffusivity of the soil around power cables. On-line monitoring systems have been developed and installed with a data logger system and buried spheres that use an improved technique to measure thermal resistivity and diffusivity over a short period. Based on the long-term continuous field data for more than 4 years, a probabilistic approach is developed to establish the correlation between the measured field thermal resistivity values and rainfall data from weather bureau records. Hence, a probabilistic cable rating can be established based on monthly probabilistic distribution of thermal resistivity

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ID Code: 57054
Item Type: Conference Paper
Refereed: Yes
Keywords: Moisture, Power cable insulation, Power cables, Soil measurements, Thermal conductivity, Thermal loading, Thermal resistance, computerised monitoring, power cable testing, thermal conductivity measurement, underground cables, buried spheres, cable parameters, cable thermal environment, diffusivity, on-line monitoring systems, probabilistic cable rating, thermal resistivity
DOI: 10.1109/ICPST.2000.897169
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Power and Energy Systems Engineering (excl. Renewable Power) (090607)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Electrical and Electronic Engineering not elsewhere classified (090699)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2000 please consult the authors
Deposited On: 11 Feb 2013 00:02
Last Modified: 20 Feb 2015 01:16

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