Defect Recognition inside Superconducting Gas Insulated Line by Induced Charge Tomography

Monitoring the operation of superconducting gas insulated transmission lines (S-GIL) is critical for preventing the occurrence of flashovers and ensuring the reliability of power transmission systems. In this paper, the induced charge tomography (ICT) technique is proposed to reconstruct the permittivity distribution in S-GIL. Based on a simplified 2D model of the 35 kV S-GIL, three cases are assigned to verify the feasibility of the defect recognition technique. After inversion, the reconstructed permittivity distributions are highly consistent with the assigned cases.