Macroscopic conductivity models are the simplest and more common method used for electric field calculation in HVDC cables. Due to the scarcity of parameters of those models in the literature, it becomes necessary to fit the macroscopic models mostly found in the literature to the conductivity measurements of the state-of-the-art HVDC cable insulation. This paper introduces fitting models of the electrical conductivity measurements previously performed on HVDC cable insulation. The models are further modified to best fit the measurements introducing a synergistic relationship between parameters and stresses applied on the cable i.e., electric field and temperature. A comparison among all models found in the literature with their relevant parameters is also carried out.

B. Diban, G.M. (2023). Macroscopic conductivity models fit for HVDC cable insulation.

Macroscopic conductivity models fit for HVDC cable insulation

B. Diban;G. Mazzanti;
2023

Abstract

Macroscopic conductivity models are the simplest and more common method used for electric field calculation in HVDC cables. Due to the scarcity of parameters of those models in the literature, it becomes necessary to fit the macroscopic models mostly found in the literature to the conductivity measurements of the state-of-the-art HVDC cable insulation. This paper introduces fitting models of the electrical conductivity measurements previously performed on HVDC cable insulation. The models are further modified to best fit the measurements introducing a synergistic relationship between parameters and stresses applied on the cable i.e., electric field and temperature. A comparison among all models found in the literature with their relevant parameters is also carried out.
2023
Proceedings of 11th International Conference on Insulated Power Cables (Jicable'23)
1
6
B. Diban, G.M. (2023). Macroscopic conductivity models fit for HVDC cable insulation.
B. Diban, G. Mazzanti, L. Boyer, J. Castellon
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/955112
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