王少华,何坚,张永,李特,陈玲,王振国,吴旭翔
WANG Shaohua,HE Jian,ZHANG Yong,LI Te,CHEN Ling,WANG Zhenguo,WU Xuxiang

• 1:国网浙江省电力有限公司电力科学研究院
• 2:国网浙江省电力有限公司
• 3:浙江华电器材检测研究院有限公司
• 4:国网浙江省电力有限公司杭州供电公司

摘要(Abstract)：

国内输电线路覆冰在线监测中广泛应用了覆冰拉力监测技术，但受雨雪、强风等环境因素影响，在实际运行中存在覆冰拉力基准值设置不合理导致装置误告警问题。对此，通过收集历年覆冰拉力在线监测装置的长期数据和微气象数据建立了覆冰拉力数据库，并开展拉力数据和微气象数据相关性计算分析，发现拉力数据与气温、湿度、气压等因素具有较强的相关性。基于此，提出了基于多元线性回归模型的覆冰拉力基准值确定方法，并结合历史数据对覆冰模型进行了验证。验证结果表明，该方法具有较高的稳定性和准确性，可为全省覆冰拉力监测装置的数据研判和可靠性分析提供参考。
Icing tension monitoring technology is widely used for online monitoring of transmission lines in China.However, due to environmental factors such as rain, snow, and strong winds, improper setting of reference values for icing tension can lead to false alarms in actual operation. To address this issue, an icing tension database was established by collecting long-term data from icing tension monitoring devices and micro-meteorological data over the years. A correlation analysis between tension data and micro-meteorological data was conducted, revealing a strong correlation between tension data and factors such as temperature, humidity, and air pressure. Based on these findings, a method for determining the reference values of icing tension based on a multiple linear regression model was proposed, and the icing tension model was validated using historical data. The validation results show that this method offers high stability and accuracy, providing a reference for data assessment and reliability analysis of icing tension monitoring devices across the province.

关键词(KeyWords)： 输电线路;覆冰拉力;在线监测;微气象;多元线性回归;基准值;确定方法
transmission line;icing tension;online monitoring;micro-meteorology;multiple linear regression;reference value;determination method

Abstract:

Keywords:

基金项目(Foundation): 国网浙江省电力有限公司科技项目（5211DS23000L）

作者(Author): 王少华,何坚,张永,李特,陈玲,王振国,吴旭翔
WANG Shaohua,HE Jian,ZHANG Yong,LI Te,CHEN Ling,WANG Zhenguo,WU Xuxiang

DOI: 10.19585/j.zjdl.202505012

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