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Research on Transmission Line Icing Tower Broken Fault Probability Calculation Model
Author(s) -
Jun Guo,
Jian Zhou,
Tao Feng,
Zelin Cai,
Xunjian Xu
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/696/1/012036
Subject(s) - icing , transmission tower , tower , electric power transmission , transmission line , breakage , fault (geology) , transmission (telecommunications) , line (geometry) , power transmission , engineering , probability distribution , reliability engineering , power (physics) , computer science , structural engineering , meteorology , statistics , mathematics , electrical engineering , geology , physics , geometry , quantum mechanics , seismology , world wide web
Icing in winter is an important disaster that affects the normal operation of transmission lines. Among them, icing is easy to lead to tower collapse and disconnection. Due to long recovery time, great economic loss and social impact, it poses an important threat to the stable operation and reliable power supply of power grid. At present, the research on ice covered tower breaking fault of transmission lines mainly focuses on the finite element simulation analysis and calculation or exponential function fitting calculation. Due to the complexity of the mechanism of transmission line icing tower breakage, the current physical mechanism research conclusion cannot explain the occurrence of icing tower breakage. The existing analysis methods cannot accurately describe the characteristics of transmission line icing tower broken fault probability. Therefore, this paper proposes a probability calculation model based on probability distribution statistics, which can quantitatively calculate the failure probability of transmission line icing tower breakage. It has important theoretical significance and practical application value to provide scientific basis for transmission line to deal with icing disaster in advance.

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