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Identification of Hoarfrost Corona Losses Events Based on Advanced Operational Data Analysis and Weather Modelling

机译:基于高级运行数据分析和天气模型的白霜电晕损失事件识别

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Corona losses on overhead line conductors due to hoarfrost lead to the highest corona losses in comparison to other weather conditions initiating corona (e.g. rain or wet snow). In this paper a promising methodology for identification and calculation of corona losses induced by hoarfrost using operational measurements, as well as a numerical weather model to predict hoarfrost on overhead transmission lines, is proposed. The methodology comprises the practical simplified procedure including operational measurements of the total line losses, subtraction of resistive losses, evaluation and subtracting of a measuring error from operational data. The results are further verified by application of advanced modelling using atmospheric data from a numerical weather prediction model and tested for actual overhead lines. The proposed hoarfrost model confirms its feasibility in identifying of observed corona loss events due to hoarfrost.
机译:与其他引发电晕的天气条件(例如下雨或下雪)相比,由于白霜造成的架空线导体上的电晕损耗导致最高的电晕损耗。本文提出了一种有前途的方法,用于使用操作测量来识别和计算由白霜引起的电晕损耗,以及提出一种数值天气模型来预测架空输电线路上的白霜。该方法包括实用的简化程序,包括总线路损耗的操作测量,电阻损耗的减法,评估以及从操作数据中减去测量误差。通过使用高级建模,使用来自数值天气预报模型的大气数据,并通过实际架空线进行测试,可以进一步验证结果。拟议的霜冻模型证实了其在确定观测到的由于霜冻引起的电晕损失事件方面的可行性。

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