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微气象因素和导线温度对输电线路覆冰的影响研究 被引量:4

Influence of Micro Meteorological Factors and Conductor Temperature on Icing of Transmission line
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摘要 影响输电线路覆冰的主要影响因素是微气象因素(环境温度、风速、风向及相对湿度等等)和导线温度等等。而目前微气候要素和覆冰的相关性分析不全面、不系统,无法确定输电线路覆冰的主要因素。统计了云南电网靖万线110 kV线路2015年12月至2016年3月输电线路覆冰在线监测系统的各个监测参量,采用改进的灰色斜率模型分析了输电导线微气象因素(环境温度、风速。相对湿度)和导线温度与覆冰之间的关系,计算得到它们之间的关联度分别为0.198、0.075、0.265、0.496;在导线温度满足输电导线覆冰的情况下,环境温度、风速及相对湿度与覆冰间的关联度分别为0.179、0.056、0.237。因此,影响覆冰较大的因素为导线温度,可以为直流融冰等除冰过程提供数据支撑,以保障电网的安全稳定运行。 The main factors affecting the icing of transmission lines are micro meteorological factors(ambient temperature,wind speed,wind direction and relative humidity),conductor temperature,and so on.At present,the analysis of the correlation between micro climate factors and icing is not comprehensive and systematic,and it can not determine the main factors of icing on transmission lines.Based on the statistics of each monitoring parameters of Yunnan power grid line 110 kV line Jing million from December 2015 to March 2016 the transmission line icing on-line monitoring system,using the gray slope of the improved model to analyze the transmission line of micro meteorological factors(temperature,wind speed.Relative humidity) and the relationship between the conductor temperature and icing,calculate the correlation degree between them were 0.198,0.075,0.265,0.496;the temperature of wire icing transmission wires meet under the condition of correlation degree of environment temperature,wind speed and relative humidity and the ice between were 0.179,0.056,0.237.Therefore,the influence factor of icing temperature is conductor temperature,which can provide data support for deicing process such as DC melting and ice melting,so as to ensure the safe and stable operation of power grid.
作者 张江涛 李川 赵振刚 张家洪 ZHANG Jiang-tao;LI Chuan;ZHAO Zhen-gang;ZHANG Jia-hong(Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,China)
出处 《软件》 2018年第2期16-21,共6页 Software
基金 国家自然科学基金(51667011)
关键词 覆冰 监测参量 灰色斜率关联分析 微气象因素 Icing Monitoring parameters Grey slope correlation analysis Micro meteorological factors
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