BP neural network-based power transmission line lightning damage risk assessment method

Abstract

The present invention discloses a BP neural network-based power transmission line lightning damage risk assessment method. The method comprises the following steps of analyzing the influence factors of the power transmission line lightning damage risks, acquiring the lightning stroke risk sample data influencing the power transmission line safety according to the influence factors, and carrying out the normalization pre-processing, and dividing the lightning damage risk grades; establishing a BP neural network model, inputting the lightning stroke risk sample data in the BP neural network model to learn and train, adopting the trained BP neural network model to calculate the power transmission line lightning damage risk assessment values, and sending out the caution information to the power transmission lines having the higher risk assessment values. According to the present invention, the BP neural network model can be established, the lightning stroke risk sample data is acquired andis inputted to the BP neural network model to learn and train, thereby assessing the power transmission line lightning damage risk grades, and enabling the lightning damage risk assessment precisionto be higher and the results to accord with the actual requirements better.

Description

technical field [0001] The invention belongs to the technical field of lightning protection for power transmission lines, and more specifically relates to a method for evaluating the risk of lightning damage of power transmission lines based on a BP neural network. Background technique [0002] In recent years, my country's economy has developed rapidly, and the requirements for power supply reliability are getting higher and higher. Lightning tripping is an important factor affecting the reliability of transmission line power supply, especially in areas with frequent lightning activities, lightning tripping has brought great inconvenience to people's lives. Therefore, it is of great significance to conduct lightning strike risk assessment on transmission lines. At present, some research institutions only use the lightning trip rate as an indicator for the assessment of lightning risk. If the lightning trip rate is high, the risk of lightning trip is higher, and vice versa....

AI Technical Summary

Problems solved by technology

This evaluation method is not comprehensive, because there is more than one factor affecting lightning disasters, and it is also related to the intensity of lightning activity, topography, and the importance of transmission lines.

The assessment method that takes the lightning trip rate as the only influencing factor cannot accurately assess the lightning risk of transmission lines, so it is urgent to propose an assessment method that can more accurately reflect the lightning risk

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