摘要
针对蒙东地区风偏故障导致线路走廊事故频发的现状,本文基于K均值聚类算法对宁城地区历年风力数据进行季节性分类聚合,根据聚类结果对宁天Ⅱ线220kV输电线路的输电走廊按季节逐个进行风偏计算,划分输电线路巡视风险等级,利用数据驱动的方法刻画整条线路杆塔的四季水平风偏距离特点,获得其季节性风偏特征。所提方法可为线路巡视工作提供数据支持,提高作业人员线路巡视的工作效率。
In response to the frequent occurrence of line corridor accidents caused by wind deviation faults in the eastern Inner Mongolian region,this article uses the K-means clustering algorithm to seasonally classify and aggregate wind data from the Ningcheng region over the years.Based on the clustering results,wind deviation calculations are conducted on the transmission corridors of the NingtianⅡ220kV transmission line by season,and the risk level of transmission line inspection is divided.Data-driven methods are used to characterize the horizontal wind deviation distance characteristics of the entire transmission line’s towers during the four seasons,and their seasonal wind deviation characteristics are analyzed.The method proposed in this article provides data support for line patrol work,improving the efficiency of line patrol work for operators.
作者
张晓东
李博
张天歌
王晓明
ZHANG Xiaodong;LI Bo;ZHANG Tiange;WANG Xiaoming(Economic and Technical Research Institute of State Grid Inner Mongolia Eastern Electric Power Co.,Ltd,Hohhot 010011;Chifeng Power Supply Company of State Grid Inner Mongolia Eastern Electric Power Co.,Ltd,Chifeng,Inner Mongolia 024000)
出处
《电气技术》
2023年第12期20-26,34,共8页
Electrical Engineering
关键词
K均值聚类
输电线路
风偏故障
风偏模型
K-means clustering
transmission lines
wind deflection fault
wind deflection model
