Cable modelling for electromagnetic transients in power systems

Cables are extensively used for underground alternating current electricity distribution and progressively over longer distances ; the proliferation of offshore wind farms which require interconnections with the mainland has also increased their use underwater. Models of cables are available in the well-known Electro Magnetic Transient Program software and are designed to the time-domain. These models are assembled using different techniques but all of them need a precise knowledge of the frequency domain parameters of the cables. Accordingly, for the calculation of the impedances of three-core submarine power cables this thesis proposes an improved method to consider the proximity effect between all conductors. The method, which is a semi-analytical, uses the dual concept of thin-wires and sub-conductors to describe the current density inside the conductors and the calculation of the impedances. The effect of the sea return is also analyzed and a quasi Monte Carlo method is proposed, to solve the integrals describing the impedances formulations for the two layer soil (the sea and seabed) upon which the submarine cables are laid. The effect due to the presence of semi-conducting layers in the cables is also treated. The stochastic collocation method is also described and applied, in order to account for the variability of the input parameters.

Data and Resources

Additional Info

Field Value
Source https://theses.hal.science/tel-00871101
Author Pagnetti, Alberto
Maintainer CCSD
Last Updated May 9, 2026, 10:43 (UTC)
Created May 9, 2026, 10:43 (UTC)
Identifier NNT: 2012CLF22248
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire des sciences et matériaux pour l'électronique et d'automatique (LASMEA) ; Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Centre National de la Recherche Scientifique (CNRS)
creator Pagnetti, Alberto
date 2012-06-29T00:00:00
harvest_object_id fb840f95-6679-4e73-a57e-7c95a365d78f
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-30T00:00:00
set_spec type:THESE