康丽莉,王振国,陆正奇,邓芳萍
KANG Lili,WANG Zhenguo,LU Zhengqi,DENG Fangping

• 1:浙江省气象科学研究所
• 2:国网浙江省电力有限公司电力科学研究院

摘要(Abstract)：

为提高电力PMS（微气象监测站）气温数据在电网覆冰监测中的应用，以气象部门AWS（自动气象站）为参考站，采用Barnes插值法对覆冰期间PMS逐小时气温数据实施质量控制。结果表明，PMS中数据异常的站点占比相对较高。基于山区高、低海拔站点在覆冰期间存在的气温直减率特征，运用Barnes插值法重建了山区杆塔点的气温数据。重建气温与实测气温在分布特征上具有良好的一致性，且在低温持续时间上也呈现显著相关。以2024年2月下旬冻雨覆冰事件为例，结合层结分析法推算的冻雨落区与山区杆塔点重建气温来定义一种有效覆冰时间。分析显示，基于该方法计算得到的杆塔点有效覆冰时间能够较为准确地反映山区线路覆冰严重程度，可以作为覆冰监测的参考依据。
To enhance the application of temperature data from power micro-meteorological monitoring stations(PMS) in grid icing monitoring, this paper uses automatic weather stations(AWS) of meteorological departments as reference stations and adopts the Barnes interpolation method to perform quality control on hourly PMS temperature data during icing periods. The results indicate a relatively high proportion of stations with abnormal data in the PMS. Based on the characteristic of vertical temperature lapse rates observed at high-and low-altitude stations in mountainous areas during icing periods, the Barnes interpolation method is employed to reconstruct temperature data at tower points in these areas. The reconstructed temperatures show good consistency with measured temperatures in distribution characteristics and exhibit significant correlation in the duration of low-temperature periods. Taking a freezing rain icing event in late February 2024 as an example, the paper defines an effective icing duration by combining the freezing rain area estimated through analytic hierarchy process(AHP) with the reconstructed temperatures at mountainous tower points. Analysis demonstrates that the effective icing duration calculated using this method can accurately reflect the severity of transmission line icing in mountainous areas, providing a reference for icing monitoring.

关键词(KeyWords)： Barnes插值方法;质量控制;电力微气象监测站;有效覆冰时间;自动气象站;气温垂直直减率
Barnes interpolation method;quality control;PMS;effective icing duration;AWS;vertical temperature lapse rate

Abstract:

Keywords:

基金项目(Foundation): 浙江省自然科学基金联合基金（LZJMY25D050002）;; 国网浙江省电力有限公司科技项目（B311DS25Z009）

作者(Author): 康丽莉,王振国,陆正奇,邓芳萍
KANG Lili,WANG Zhenguo,LU Zhengqi,DENG Fangping

DOI: 10.19585/j.zjdl.202604004

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