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文章摘要
基于大数据的输电线路通道智能风险预控技术研究
Research on Intelligent Risk Pre-control Technology of Transmission Line Channel Based on Large Data
Received:November 28, 2018  Revised:December 12, 2018
DOI:10.19753/j.issn1001-1390.2020.06.013
中文关键词: 输电通道  山火风险  评估模型  风险管控
英文关键词: Transmission channel, Mountain fire risk, Assessment model, Risk management
基金项目:
Author NameAffiliationE-mail
li luoji* State Grid Tianjin Electric Power Research Institute tjdgyhc25@163.com 
Wen Qingfeng State Grid Tianjin Electric Power Research Institute tjdgyhc25@163.com 
Zhou Wentao State Grid Tianjin Electric Power Research Institute tjdgyhc25@163.com 
Xi Xiaoguang State Grid Tianjin Electric Power Research Institute tjdgyhc25@163.com 
Zhang Chi State Grid Tianjin Electric Power Research Institute tjdgyhc25@163.com 
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中文摘要:
      近年来,输电线路环境变化引起的电网事故越来越多,对电网安全和稳定造成严重影响。考虑到输电线路山火风险的影响因素多而复杂,提出输电线路通道的山火风险评估模型,根据气象数据的统计分析,确定不同火险气象等级下山火发生的概率,结合发生山火时空气间隙被击穿的概率计算模型,建立了具有时空分布特征的山火输电通道风险评估模型。通过算例验证了模型的有效性,实验结果表明,该模型能够有效预测输电通道山火风险,所做研究工作为我国输电通道智能风险管制提供了参考和借鉴。
英文摘要:
      In recent years, there have been more and more power grid accidents caused by environmental changes in transmission lines, which have seriously affected the safety and stability of power grids. Considering that the influencing factors of the transmission line mountain fire risk are many and complicated, the mountain fire risk assessment model of the transmission line channel is proposed. According to the statistical analysis of meteorological data, the probability of occurrence of hill fire under different fire danger meteorological grades is determined, combined with the air gap when the mountain fire occurs. The probability calculation model of the breakdown is established, and the risk assessment of the model transmission channel under the mountain fire condition with temporal and spatial distribution characteristics is established. The validity of the model is verified by an example. The experimental results show that the model can effectively predict the fire risk of the transmission channel. The research work has provided reference and reference for the intelligent risk control of transmission channels in China.
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