In this paper, an experimental validation of the generalized multiconductor cell analysis (with acronym MCA) is presented. MCA is based on an extensive and advanced use of three-dimensional matrix algebra, which allows self-made procedures to be implemented in any standard computer by means of a mathematical software (e.g. Matlab). MCA has been applied to three-core single lead-screened armoured cables where cores and armour wires are wound helically with different lengths of lay. The experimental validation comes from a measurement campaign on the 29,5 km long Capri – Torre Annunziata three-core submarine cable link. All the theoretical conclusions derived by the authors through the development and application of MCA method are experimentally confirmed and the model has a first validation. The maximum difference between MCA results and measurements is 7 % on the positive sequence resistance at power frequency f=50 Hz. Therefore, the same difference occurs in power losses evaluation. A 9,1 % difference occurs in the evaluation of positive sequence reactance.

Capri-Torre Annunziata 150 kV Three-Core Armoured Submarine Cable: A First 3D Multiconductor Cell Analysis Confirmation

Benato, Roberto
;
Sessa, Sebastian Dambone;
2018

Abstract

In this paper, an experimental validation of the generalized multiconductor cell analysis (with acronym MCA) is presented. MCA is based on an extensive and advanced use of three-dimensional matrix algebra, which allows self-made procedures to be implemented in any standard computer by means of a mathematical software (e.g. Matlab). MCA has been applied to three-core single lead-screened armoured cables where cores and armour wires are wound helically with different lengths of lay. The experimental validation comes from a measurement campaign on the 29,5 km long Capri – Torre Annunziata three-core submarine cable link. All the theoretical conclusions derived by the authors through the development and application of MCA method are experimentally confirmed and the model has a first validation. The maximum difference between MCA results and measurements is 7 % on the positive sequence resistance at power frequency f=50 Hz. Therefore, the same difference occurs in power losses evaluation. A 9,1 % difference occurs in the evaluation of positive sequence reactance.
2018
2018 110th AEIT International Annual Conference, AEIT 2018
9788887237405
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3298494
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