Power transmission line tower lightning strike risk evaluation method based on data mining technology

Abstract

The invention discloses a power transmission line tower lightning strike risk evaluation method based on the data mining technology. The power transmission line tower lightning strike risk evaluation method based on the data mining technology comprises the steps that the coordinates of a power transmission line tower, the structure information of the tower and insulating configuration information are input into a GIS, and the elevation information around the tower and the cloud-to-ground lightning density degree of the position where the tower is located are extracted by means of the GIS; topographic feature parameters are calculated according to the elevation information; calculation is conducted according to the coordinates of the tower, the structure of the tower and the insulating configuration information, so that a predicted value of the lightning strike trip-out rate of the tower is obtained. The power transmission line tower lightning strike risk evaluation method based on the data mining technology is characterized by further comprising the steps that the obtained topographic feature parameters of the tower, the obtained cloud-to-ground lightning density degree, the obtained predicted value of the lightning strike trip-out rate and obtained lightning strike trip records are input by means of data mining software, a data mining model is established, and the probability of lightning strike trips of the base tower is analyzed and output; the lightning strike trip probability of the tower is compared with the lightning strike trip probability of a tower to which lightning strike strips happen once, so that the lightning strike trip risk grade of the tower is evaluated, and reliable data support is provided for lightning protection design of a power transmission line and lightning protection differentiation transformation of the power transmission line.

Description

technical field [0001] The invention relates to the application field of lightning prevention and control for transmission lines, in particular to a data mining technology-based lightning strike risk assessment method for transmission line towers, which is applicable to the assessment of lightning strike risk for high-voltage, ultra-high voltage and ultra-high voltage overhead transmission line towers in power systems. Background technique [0002] Operation statistics show that lightning strikes have become the main cause of transmission line tripping. Although various lightning protection measures have been taken, the tripping rate due to lightning strikes is still high. Although lightning protection measures such as line arresters can effectively reduce the lightning tripping rate, due to the high cost, it is impossible to popularize and try them on a large scale on transmission lines. Existing studies have shown that the lightning protection performance of transmission l...

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Problems solved by technology

However, the guiding role of lightning operation experience cannot be considered, that is, the evaluation method cannot be corrected by using the information of towers that have experienced lightning tripping, resulting in a large difference between the evaluation results and actual operating experience

[0004] The applicant also found in the research that according to the evaluation results of the currently applied lightning protection performance evaluation method, it is impossible for the tower to trip due to lightning strike, but the lightning strike trip occurred during operation, which shows that the current lightning protection performance evaluation method still has defects. Unable to accurately assess the lightning strike risk of transmission line towers

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