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Statistical variation of currents in overhead transmission lines

机译：架空输电线路中电流的统计变化

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Knowledge of the statistical variation of the current in an overhead transmission line is required in order to calculate the probabilistic heating and the cumulative loss of tensile strength of the conductors. However, although some utilities may record the statistical variation of the currents in their transmission lines, there is very little published information on this subject. This paper presents cumulative frequency distributions of line currents recorded over a period of 1 year for eight lines on three continents. The distributions are then normalized in terms of the ratio of the current to a reference current. Reference currents used are: the maximum current, the median current, the mean current, the model current, and the current that is exceeded for 50/100 of the total time. The model currents are found from the probability density functions of current. The normalized distributions are compared with one another, and it is found that the distributions of I/I_mean and I/I_50 have the lowest dispersion. Algorithms are derived to calculate the distributions for various degrees of loading of lines. The distributions are also compared with those obtained with constant temperature of the conductors.
机译：为了计算概率加热和导体抗拉强度的累积损失，需要了解架空输电线路中电流的统计变化的知识。但是，尽管某些公用事业公司可能会记录其传输线中电流的统计变化，但有关此主题的公开信息很少。本文介绍了三大洲八条线路在一年内记录的线路电流的累积频率分布。然后根据电流与参考电流的比率对分布进行归一化。使用的参考电流为：最大电流，中值电流，平均电流，模型电流以及在总时间中超过50/100的电流。可从电流的概率密度函数中找到模型电流。比较归一化的分布，发现I / I_mean和I / I_50的分布具有最低的色散。派生算法来计算不同程度的线路荷载分布。还将该分布与在导体的恒定温度下获得的分布进行比较。

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