电力系统保护与控制2017，Vol.45Issue(17)：100-105,6.DOI:10.7667/PSPC161228
基于BP神经网络的输电线路山火风险评估模型
Modeling forest fire risk assessment based on BP neural network of transmission line
刘春翔 1范鹏 2王海涛 1郭江 2柯睿1
作者信息
- 1. 南瑞集团公司(国网电力科学研究院),江苏 南京 211000
- 2. 国网电力科学研究院武汉南瑞有限责任公司, 湖北 武汉 430074
- 折叠
摘要
Abstract
The power outage accidents of transmission line happened more and more frequently because of forest fire disasters, which seriously affected the safety and stability of the grid. Forest fire risk the transmission line is becoming an important research topic for disaster prevention and mitigation of grid. Considering the complexity and variability of fire risk factors, this paper proposes a forest fire risk assessment model based on BP neural network of transmission line. Combining with the actual situation of high incidence of forest fire disasters in some places of 220 kV transmission lines and above, several factors and the actual fire assessment grade are chosen to serve as the input of model and the output of model respectively. Thus, the risk assessment model is established. The experiment results show that the model predicts fire risk of transmission line effectively, which is of great significance to give a warning message timely for grid.关键词
输电线路/山火灾害/BP神经网络/风险评估Key words
transmission line/forest fire disaster/BP neural network/risk assessment引用本文复制引用
刘春翔,范鹏,王海涛,郭江,柯睿..基于BP神经网络的输电线路山火风险评估模型[J].电力系统保护与控制,2017,45(17):100-105,6.
