李清,杨晓辉,刘振声,李哲,赵书杰,何旭广.基于灰色聚类分析的输电线路舞动分级预警方案[J].电测与仪表,2020,57(17):45-52. LI Qing,YANG Xiaohui,LIU Zhensheng,LI Zhe,ZHAO Shujie,HE Xuguang.Graded Warning Scheme of Transmission Line Galloping Based on Grey Clustering Analysis[J].Electrical Measurement & Instrumentation,2020,57(17):45-52.
基于灰色聚类分析的输电线路舞动分级预警方案
Graded Warning Scheme of Transmission Line Galloping Based on Grey Clustering Analysis
Transmission line galloping disasters will cause serious power grid safety accidents and economic losses. In order to warn the occurrence of galloping accidents, a graded warning scheme of transmission line galloping based on grey clustering analysis was proposed. According to the main reason of the galloping, an indicator quantity system affecting the transmission line galloping was established from three aspects: meteorological factors, wind incentives and line structure factors, and AHP was used to calculate the weight of indicators. A graded warning scheme was designed by using grey clustering analysis. The comprehensive clustering coefficient was calculated from the whitening weight function and the weight value, and the maximum value was used to judge the galloping state. The calculation results of examples agreed well with the actual galloping state. The graded warning scheme of this paper could provide reference for the prevention and control of galloping accidents.