基于K均值聚类算法的输电线路风偏计算及分析  

Calculation and analysis of wind deflection in transmission lines based on K-means clustering algorithm

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)

机构地区：[1]国网内蒙古东部电力有限公司经济技术研究院,呼和浩特010011 [2]国网内蒙古东部电力有限公司赤峰供电公司,内蒙古赤峰024000

出　　处：《电气技术》2023年第12期20-26,34,共8页Electrical Engineering

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.

关 键 词：K均值聚类 输电线路 风偏故障 风偏模型 

分 类 号：TM75[电气工程—电力系统及自动化]