XGBoost‑based assessment method for fire risk levels of transmission lines
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(1.Intelligent Live Operation Technology and Equipment (Robot) Hunan Provincial Key Laboratory, State Grid Hunan Electric Power Co., Ltd.,Hengyang 420100, China;2.Live Inspection and Intelligent Operation Technology State Grid Corporation Laboratory,State Grid Hunan Electric Power Co.,Ltd.,Hengyang 420100, China;3.School of Electrical & Information Engineering, Changsha University of Science & Technology,Changsha 410114, China)

Clc Number:

TM863

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    Abstract:

    Mountain fires pose a threat to the safe operation of transmission lines. Firstly, the historical pattern of mountain fire incidents in Hunan province from 2018 to 2020 is reviewed. On this basis, a database of mountain fire incidents is constructed. One?hot encoding technique is introduced to numerically process textual features such as the vegetation type along the transmission lines. Then, XGBoost technology is utilized to build a mountain fire risk assessment model for transmission lines. Aiming at imbalanced samples between forest fire incidents and normal operations, based on a cost?sensitive mechanism, a weighted objective function is presented to mitigate the problem of overlooking mountain fires caused by sample imbalances. Finally, the proposed mountain fire risk assessment model for transmission lines is tested using the forest fire incidents in Yongzhou City, Hunan Province, from 2020 to 2021 to validate its effectiveness.

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罗 昊,杨 琪,王炜宇,刘勇辉,肖珍珍,杨东侪.基于XGBoost的输电线路火灾风险等级评估方法[J].电力科学与技术学报英文版,2023,38(6):132-141. LUO Hao, YANG Qi, WANG Weiyu, LIU Yonghui, XIAO Zhenzhen, YANG Dongchai. XGBoost‑based assessment method for fire risk levels of transmission lines[J]. Journal of Electric Power Science and Technology,2023,38(6):132-141.

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  • Online: January 30,2024
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