Spline interpolation analysis method of power transmission line meteorological characteristics

Abstract

The invention relates to the technical field of the risk early warning evaluation of a power transmission line, in particular to a spline interpolation analysis method of power transmission line meteorological characteristics. The tripping risk evaluation method comprises the following steps: 1) analyzing the daily value data of a county-level observation station of a meteorological department; 2) substituting a tower coordinate of the power transmission line into a spatial interpolation function to obtain wind power parameters along a line, and independently calculating the wind load three parameters of a tower, a conductor, a ground wire and an insulator; 3) establishing a five-range evaluation table based on the wind load three parameters; and 4) determining a tripping risk of the line under the condition of strong wind. The risk evaluation method avoids errors brought by meteorological statistics and adopts three-parameter wind load to evaluate a tripping probability of the line under the condition of the strong wind, and evaluation is more comprehensive since a continuous function of the wind load is generally considered.

Description

technical field [0001] The invention relates to the technical field of transmission line risk early warning and refined data processing, in particular to a spline interpolation analysis method for meteorological characteristics of transmission lines. Background technique [0002] The transmission line is the main artery of the power system and the link between the power plant and the power user. Because the overhead transmission line is criss-crossed, it is directly exposed to the natural environment. Extreme weather conditions, such as lightning, typhoon, rainstorm, mountain fire, etc., may cause It has a serious impact on the safe and stable operation of transmission lines. According to statistics, tripping events of 110kV and above transmission lines caused by meteorological and environmental reasons often account for more than 70% of all tripping events of power grid transmission lines. Therefore, the power system urgently needs Carry out research on the risk assessment ...

AI Technical Summary

Problems solved by technology

[0003] No matter which method is used above, the meteorological data of the transmission line is the basic parameter of risk assessment, and the accuracy of the meteorological data will affect the accuracy of the risk assessment. In the existing related research, the forecast data of the meteorological department is directly used. The meteorological parameters of the area where the station is located are unified as the observed value of the station, generally in the prefecture-level city. For a line running through a prefecture-level city, the meteorological data along the line are consistent, which is quite different from the actual situation. The data is directly used for subsequent Risk assessment will bring large errors. At present, there is no relevant analysis method for the power system. The data of the meteorological department is processed. Combined with the characteristics of the wide distribution of transmission lines and the diverse environments along the line, the surrounding meteorological environment is analyzed in detail to increase the risk. Assessment Accuracy

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