Space-Time-Intensity Online Early-Warning of Transmission Tower Faults by Caused Rainfall-Induced Landslides

doi:10.11930/j.issn.1004-9649.201912083

Abstract

Abstract: The environment around transmission lines in mountainous and hilly areas is complicated, and rainfall-induced landslide may cause transmission towers fault, which will influence the safe and stable operation of power systems. An early-warning method is proposed for transmission tower faults caused by rainfall-induced landslide disaster, which can achieve the quantitative online early-warning of the entire disaster process from such three aspects as landslide risk area, landslide activity time and damage condition of transmission tower. Firstly, the GIS technology is used to obtain the target risky area through overlaying the rainfall forecast area and power grid area, and the landslide-prone area is determined with grid-based landslide disaster index. Secondly, the daily variation of rainfall infiltrating into the soil is analyzed with combination of meteorological data, and a dynamic updating cumulative effective rainfall model is established, and then a landslide probability model is presented, which can predict landslide activity time. Finally, by taking the impact force of landslide as disaster-causing intensity and the bending deformation energy corresponding to the tower's limit deflection as anti-disaster performance, a quantitative function relationship is obtained, which can reflect the damage degree of transmission towers from work-energy aspect. Case study result has proved the feasibility and rationality of the proposed method.

Key words: rainfall, landslide disaster, early warning, fault probability, disaster-causing intensity, transmission tower

TANG Yi, XU Xiangxiang, CHEN Bin, YI Tao. Space-Time-Intensity Online Early-Warning of Transmission Tower Faults by Caused Rainfall-Induced Landslides[J]. Electric Power, 2020, 53(1): 56-65.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201912083

https://www.electricpower.com.cn/EN/Y2020/V53/I1/56

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