Method and system for building transmission line dancing tripping risk prediction network model

Abstract

The invention discloses a method for building a transmission line dancing tripping risk prediction network model. The method comprises the following steps: acquiring wind speed, temperature and humidity; acquiring a tripping result; building each sample parameter set in multiple sample parameter sets; building an initial model based on a neural network, wherein the model includes an input layer, a hidden layer and an output layer; learning and training the initial model based on a neural network, and inspecting the learned and trained initial model to get an inspected inspection model; and making a comparative analysis of output parameters obtained through the inspection model and output sample parameters of the actual tripping result. The invention provides an effective solution to the problem on how to predict the dancing tripping risk to transmission lines in all regions of our country. By using the technical scheme of the invention, the tripping risk to a transmission line can be evaluated reasonably, and a smart prediction technical support can be provided for transmission line dancing risk pre-warning.

Description

technical field [0001] The present invention relates to the field of risk prediction, and more particularly, to a method and system for establishing a network model for risk prediction of galloping tripping of transmission lines. Background technique [0002] Since entering the 21st century, my country's UHV power grid construction has entered a new stage of development, providing energy security for the rapid development of the national economy. However, the ever-expanding grid scale, increasingly complex grid structure, and gradually increasing geographical span make the grid more affected by severe weather conditions. Harsh weather conditions have a certain impact on the transmission lines erected in the natural environment. For example, under the influence of severe weather such as ice, snow, wind and frost, the transmission lines will dance. In recent years, severe weather has occurred frequently, and the frequency of disasters caused by conductor galloping has increas...

AI Technical Summary

Problems solved by technology

First, the installation of the sensor is troublesome and uneconomical; second, the harsh environment in the field can easily cause damage to the sensor, resulting in inaccurate monitoring results

Therefore, the monitoring of the galloping phenomenon of the transmission line is inaccurate, causing a trip accident, which causes heavy losses to the transmission line

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