高电压技术2012，Vol.38Issue(11)：3000-3007,8.
基于在线监测系统的输电线路覆冰数据统计与分析
Statistics and Analysis of Transmission Lines Icing Data Based on Online Monitoring System
摘要
Abstract
Transmission line online monitoring system can monitor the real-time icing condition of overhead transmission lines.We obtained characteristics and aggregation types of icing data on the basis of the icing data measured from an online monitoring system.It is found that most measuring terminals generally record ice more than 2mm thick only,and the wind speed and wind direction cannot be measured under icing condition.Valid icing data mainly gathers in four types,including the short-term oscillation,the short and medium term maintenance,the long-term maintenance,and the whole icing process,in which the whole icing process including obvious ice growing and melting periods has the biggest threats to transmission lines.Moreover,in the absence of some meteorological variables such as wind speed and direction,the icing tendency in low-temperature and high-humid environment is analyzed,revealing that the icing increment per quarter approximately follows a normal distribution with an average of zero,over-kurtosis and positive-skewness.Moreover,the icing weight increases linearly in growing period,which is better fitted by equations of linear function than that of exponential function.Conclusions can be drawn that:only the ice which is formed under long-term,low temperature,and freezing weather with rain and snow is likely to threaten the transmission lines;the icing increment per quarter approximately follows a normal distribution;in the steady icing growing period,the increment of icing quality shows a very strong linear relationship with time which can be used for icing prediction by constructing linearly increasing models.关键词
输电线路/覆冰/在线监测系统/数据特征/统计分析/拟合Key words
transmission lines/icing/online monitoring system/data characteristics/statistical analysis/fitting分类
信息技术与安全科学引用本文复制引用
王敩青,戴栋,郝艳捧,李立浧,傅闯,饶宏..基于在线监测系统的输电线路覆冰数据统计与分析[J].高电压技术,2012,38(11):3000-3007,8.基金项目
国家“十一五”科技支撑计划重大项目 （）
广东省自然科学基金 （）
