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https://doi.org/10.1109/pmaps....
Conference object . 2018 . Peer-reviewed
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Analysis of XLPE Power Cables Thermal Modelling for Short and Long Transients by means of Monte Carlo Approach

Authors: M. Pagano; C. Petrarca; M. Roscia;

Analysis of XLPE Power Cables Thermal Modelling for Short and Long Transients by means of Monte Carlo Approach

Abstract

HV cables have a significant role in linking power sources and loads in electrical grids. The aim of the present paper is the study of the thermal processes acting in a HV XLPE power cable by means of a probabilistic characterization. A matrix approach is used, which takes into account both the whole layers of the cable system and the uncertainty of the layers's parameters. Both, short (60 minutes) and long (120 minutes) cable loading transients are analyzed. Uncertainty is characterized by means of Monte Carlo method, using uniform pdfs. A sensitivity analysis involving the parameters of the cable layers is carried out. The studies are validated by using the results of laboratory tests. A discussion on the optimal parameter fitting is also carried out.

Country
Italy
Keywords

HV XLPE power cable, Statistics and Probability, Experimental validation, Computer Networks and Communications, Statistics, Energy Engineering and Power Technology, Experimental validation; HV XLPE power cable; Matrix approach; Short and long transient analysis; Thermal modelling; Computer Networks and Communications; Statistics, Probability and Uncertainty; Energy Engineering and Power Technology; Statistics and Probability, Settore ING-IND/33 - Sistemi Elettrici per L'Energia, Thermal modelling, Probability and Uncertainty, Matrix approach, Short and long transient analysis

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average