Transmission line icing type prediction method based on vertical temperature profile
A technology of transmission lines and prediction methods, which is applied in the field of power transmission and distribution, can solve the problems of inability to judge the type of icing, differences, etc., and achieve the effects of strong practicability, simple calculation operation, and high accuracy
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example 1
[0037] Such as figure 1 As shown, the icing type prediction in the embodiment of the present invention includes the following steps.
[0038] (1) Historical detection data screening parameter setting
[0039] Select an observation site in Shaoyang, Hunan, and set the highest and lowest heights of the observation layer relative to the ground, which are 0 and 8000m, respectively, that is, the range of high-altitude data is [0,8000]. Set the initial recording time of the historical data of the site as 2012 and the end recording time as 2015, then the observation period is [2012,2015].
[0040] (2) Effective data record screening
[0041] Obtain the collected temperature data and ground relative humidity data at different heights between [0,8000] when three types of icing, rime, rime and mixed rime occurred in the period of [2012,2015]. An observation record is composed of three types of elements: the type of icing observed at each time point, the temperature at different heigh...
example 2
[0057] Steps (1)~(5) are the same as Example 1.
[0058] (6) Temperature profile area ratio and surface parameter prediction
[0059] Set the initial forecast time of the WRF meteorological numerical model as January 20, 2016, and predict the temperature at different altitudes at 10:00 am on January 22, 2016, and select step (1) to determine the altitude range as [0,8000 ], draw the temperature profile according to step (3), and calculate the area ratio as 0.3 according to step (4). And predict the ground temperature -6 ℃ and relative humidity 97%.
[0060] (7) Prediction of icing type
[0061] Step (6) predicts that T≤0℃, Rh≥90%, 0.1≤r≤0.8, the predicted ice type is mixed rime, and the actual verification is mixed rime.
example 3
[0063] Steps (1)~(5) are the same as Example 1.
[0064] (6) Temperature profile area ratio and surface parameter prediction
[0065] Set the initial forecast time of the WRF meteorological numerical model as January 20, 2016, and predict the air temperature at different altitudes at 18:00 on January 22, 2016, and select step (1) to determine the altitude range as [0,8000] According to step (3), the temperature profile is drawn, and the area ratio is calculated as 0.05 according to step (4). And predict the ground temperature -9 ℃ and relative humidity 96%.
[0066] (7) Prediction of icing type
[0067] Step (6) predicts that T≤0°C, Rh≥90%, 0.01≤r<0.1, the predicted ice type is rime, and the actual verification is rime.
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