Refined covering ice model establishment method for power transmission line

A transmission line and model building technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of large deviation of icing models, reduce operation and maintenance costs, improve operation and maintenance efficiency, and improve economic benefits Effect

Inactive Publication Date: 2016-06-01
LISHUI POWER SUPPLY COMPANY OF STATE GRID ZHEJIANG ELECTRIC POWER +1
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Problems solved by technology

[0011] The purpose of the present invention is to provide a method for establishing a refined icing model for transm

Method used

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  • Refined covering ice model establishment method for power transmission line
  • Refined covering ice model establishment method for power transmission line
  • Refined covering ice model establishment method for power transmission line

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Embodiment Construction

[0048] Such as figure 1 As shown, the establishment method of the refined icing model of the transmission line includes the following steps:

[0049] A. Let the diameter of the ice-coated wire be D 0 , the starting time of the model simulation is t0~t1, and the simulation time step is 1 hour, let the current time t be the starting time, that is, t=t0, then the previous ice weight M t-1 =0, diameter of ice-coated wire D t-1 =D 0 ;

[0050] B. According to the meteorological observation data and numerical weather forecast model products of the current time t, the temperature, relative humidity, precipitation, wind speed, air pressure and temperature and humidity profiles of the transmission line tower at the current time are obtained by the interpolation method, and the interpolation process Among them, the precipitation and wind speed are interpolated by the inverse distance weighting method, the air pressure is interpolated by the linear regression method, and the temperat...

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Abstract

The invention discloses a refined covering ice model establishment method for a power transmission line. The method includes the following steps of extracting the hour average temperature, the relative humidity, the rainfall, the wind speed and the temperature and humidity vertical profile data of the pole and tower point of the power transmission line, judging whether the type of the covering ice stage at the current time is a covering ice increase stage or a covering ice falling stage or a covering ice keeping stage according to meteorological elements, and calculating the covering ice weight, the covering ice wire diameter and the standard ice thickness according to different covering ice stages. The method has the advantages that refined and reliable analysis products of multiple key meteorological element products of the power transmission line can be provided; differentiated covering rice thickness estimation products in the area are given; when the method is applied to the manual line patrol arrangement plan of the power transmission line, the plan is intensive, the operation and maintenance cost is reduced, and the line operation and maintenance efficiency is improved; a more reasonable power transmission line covering ice thickness planning scheme is provided, and economic benefits are improved through the combination with the line construction cost.

Description

technical field [0001] The invention relates to a method for establishing a refined icing model of a power transmission line. Background technique [0002] Affected by micro-topography and micro-meteorological conditions, there are obvious temporal and spatial differences in the type and amount of icing on conductors. However, due to the scarcity of icing observation stations, and most of them are located in plain basins where icing is rare, power engineering applications often face the problem of lack of icing data. To solve this problem, a large number of researches on ice-covered meteorological conditions have been carried out at home and abroad, and many empirical models and numerical models have been proposed. Based on the statistical relationship between ice observation data and meteorological factors, the empirical model uses multiple regression, neural network or support vector machine methods to estimate the amount of ice. The numerical model is based on the physi...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/367
Inventor 岳平姜文东邓芳萍姜瑜君李颖康丽莉王灿灿刘岩赵汉鹰初金良苏良智许宇奏徐清波吴建灵
Owner LISHUI POWER SUPPLY COMPANY OF STATE GRID ZHEJIANG ELECTRIC POWER
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