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Research on Transmission Line Lightning Shielding Failure Risk Refined Parameter Extraction and Information Fusion Based on Point Cloud Data
  • Liangcan Huang,
  • Xiaojun Shen
Liangcan Huang
Tongji University
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Xiaojun Shen
Tongji University

Corresponding Author:[email protected]

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Abstract

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.