摘要
输电线路导线覆冰不仅与微气象条件有关,而且与导线温度有关。针对目前微气象因素与覆冰的相关性分析不全面、不系统,且部分研究没有考虑导线温度对覆冰的影响,无法确定输电线路导线覆冰的主要影响因素等问题,笔者统计了贵州电网220kV铜黎线路和220kV鸡阳二回线路覆冰监测数据,采用灰关联方法分析了输电线路导线覆冰与微气象条件(环境温度、环境湿度、环境风速)和导线温度等因素之间的关系,确定了该两条输电线路导线覆冰和上述4个因素之间的关联度,找出影响导线覆冰的主要因素。结果表明:220kV铜黎线路和220kV鸡阳二回线路导线覆冰与4个影响因素的关联分析结果一致。两条线路每个影响因素与覆冰的关联度相似,且影响覆冰的重要程度依次为环境风速>环境温度>导线温度>相对湿度,环境风速是影响覆冰的主要因素。
Icing on transmission line is relevant to weather condition and conductor temperature.At present,the correlation analysis of the weather parameters and wire icing is not comprehensive and systematic,and in some studies the impact of conductor temperature on transmission line has not been considered,therefore the main factors influencing wire icing have not yet been determined.This paper collects the monitoring data of icing from the 220 kV Tongli power lines and 220 kV Jiyangerhui power lines,analyzes the relation among transmission line icing,conductor temperature and local meteorological conditions,such as ambient temperature,relative humidity,wind speed,etc.by making use of grey relational analysis method,and achieves the correlation degrees between icing and these four factors respectively to determine the key factor influencing wire icing on the two transmission lines.Results show that the correlation analysis result of the 220 kV Tongli power lines is consistent with the one of 220 kV Jiyangerhui power lines,and the correlation degree between transmission line icing and each influencing factor is similar one another.The importance sequence of the four factors influencing transmission line icing is ambient windspeed conductor temperature ambient temperature ambient relative humidity,which indicates that the ambient windspeed is the key factor influencing transmission line icing.
出处
《高压电器》
CAS
CSCD
北大核心
2011年第3期31-36,共6页
High Voltage Apparatus
基金
国家重点基础研究发展计划(973 计划)子课题(2009CB724507-3)
中国博士后基金(20090460759)
陕西省重大科技专项(2009ZKC02-13)
西安工程大学研究生创新基金(chx100811)~~
关键词
输电线路导线覆冰
监测数据
环境温度
相对湿度
环境风速
导线温度
灰关联分析
transmission line icing
monitoring data
ambient temperature
relative humidity
ambient windspeed
conductor temperature
grey relational analysis