Research on Transmission Line Lightning Shielding Failure Risk Refined
Parameter Extraction and Information Fusion Based on Point Cloud Data
Lightning shielding failure risk evaluation is a significant task for
EHV/UHV overhead transmission lines’ lightning protection. Previous
tower-by-tower evaluation methods fail to finely describe shielding
failure risk’s complex distribution within the span. To solve the
problem, this paper proposes two supporting technologies for shielding
failure risk refined evaluation through the whole span based on point
cloud data, including parameter extraction and data visualization.
Electro-geometric model (EGM) is used as an example to evaluate
shielding failure risk, which needs spatial parameters to quantify the
line structure and terrain factors. Point cloud data is preprocessed
according to shielding failure risk evaluation requirement. A spatial
parameter extraction algorithm is proposed to automatically obtain
refined parameters at different sides and along the whole span. Refined
shielding failure risk is obtained consequently. Furthermore, an
information fusion pattern is proposed to improve data visualization
effect, which can integrate multi-source information into point cloud
space and intuitively display data associations through a unified view.
The accuracy and effect of the proposed method are validated by a case
study conducted on a 500kV mountain line. This research could provide a
reference for the digital empowerment of lightning shielding failure
risk refined evaluation.