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.
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
