摘要
及时掌握输电线路覆冰增长、消落情势,提前开展线路除冰决策分析,可避免因覆冰过厚导致的倒塔断线事故。针对无实时覆冰厚度观测数据区域,文中在分析覆冰情势与气象要素关联性的基础上,构建基于Apriori算法的输电线路覆冰增长、消落情势与微地形气象数据的强关联规则挖掘模型,提出覆冰增长、消落情势预警方法。以南方某省级电网输电线路实例运行数据为例,验证了所提模型预警精度,实用性强,有力支撑输电线路防冻融冰决策分析。
Timely comprehension of the growth and decline of transmission line icing,and conducting decision analy-sis of line de icing in advance,which can avoid tower collapse and disconnection accidents caused by excessive icing.For areas without real-time icing thickness observation data,this article analyzes the correlation between icing condi-tions and meteorological factors,and constructs a strong association rule mining model based on the Apriori algorithm for transmission line icing growth,dissipation,and micro terrain meteorological data.A warning method for icing growth and dissipation is proposed.Taking the operation data of a provincial power grid transmission line in southern China as an example,the proposed model is verified to be accurate and practical,which strongly supports the deci-sion analysis of transmission line anti-freezing and thawing.
作者
潘浩
周仿荣
马仪
马御棠
耿浩
文刚
曹俊
PAN Hao;ZHOU Fangrong;MA Yi;MA Yutang;GENG Hao;WEN Gang;CAO Jun(Joint Laboratory of Power Remote Sensing Technology,Electric Power Research Institute,Yunnan Power Grid Company Ltd.,Kunming 650217,China)
出处
《高压电器》
CAS
CSCD
北大核心
2023年第12期75-82,共8页
High Voltage Apparatus
基金
中国南方电网有限责任公司科技项目(YNKJXM20210174)。
关键词
输电线路
覆冰情势
气象要素
关联规则
预警分析
transmission line
icing situation
meteorological factor
association rules
early warning analysis