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Analysis of XLPE Power Cables Thermal Modelling for Short and Long Transients by means of Monte Carlo Approach
handle: 11588/723377
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.
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
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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