Electric Power ›› 2022, Vol. 55 ›› Issue (8): 135-142.DOI: 10.11930/j.issn.1004-9649.202204025

• Power System • Previous Articles     Next Articles

Feature Extraction and Identification Method of Ice-covered Saddle Mircotopography for Transmission Lines

HU Jing1, DENG Ying2, JIANG Xingliang2, ZENG Yunrui2   

  1. 1. Electric Power Research Institute of State Grid Jiangxi Electric Power Co., Ltd., Nanchang 330046, China;
    2. State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China
  • Received:2022-04-11 Revised:2022-05-30 Published:2022-08-18
  • Supported by:
    This work is supported by National Natural Science Foundation of China (Dynamic Ice-covered Discharge Mechanism of Long Strings of UHV DC Insulators in Natural Environment and Its Numerical Simulation, No.51637002),Science and Technology Project of Jiangxi Electric Power Co., Ltd. (Research on Intelligent Identification Technology of Typical Micro-topography in Jiangxi, No.52182020003G).

Abstract: Transmission line icing is a serious threat to the safe and stable operation of China's power system. To address the problem of subjective classification of ice-covered microtopography areas for transmission lines, a research is carried out on using the digital elevation model (DEM) and the icing-caused fault statistics of transmission lines of Jiangxi Province to identify the saddle microtopography for transmission line corridors. A set of indicators are proposed for identifying the saddle microtopography, and used to extract the microtopography features of the sample areas. On this basis, a method is proposed for identifying the saddle topography for transmission line corridors. The validity of the saddle topography features and the proposed identification method has been verified. The research results can provide a reference for differentiated anti-icing design of transmission lines.

Key words: transmission line, ice-coverd, microtopography, feature extraction, digital elevation model (DEM)