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Informer model-based power transmission line icing prediction method

A technology of transmission lines and prediction methods, applied in prediction, neural learning methods, biological neural network models, etc., can solve the problems of long prediction sequence length, poor adaptability, and weak robustness, and achieve small prediction errors, The effect of speeding up the prediction speed and improving the prediction accuracy

Active Publication Date: 2021-11-30
GUIZHOU POWER GRID CO LTD +1
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AI Technical Summary

Problems solved by technology

[0009] The technical problem to be solved by the present invention is: to provide a transmission line icing prediction method based on the Informer model, to solve the existing technology transmission line icing prediction method because The length of the prediction sequence is long, the environmental factors are diverse, and the icing situation has temporal and spatial differences. In practical applications, there are technical problems such as low accuracy, poor robustness, and poor adaptability.

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  • Informer model-based power transmission line icing prediction method
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  • Informer model-based power transmission line icing prediction method

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Embodiment Construction

[0054] The present invention realizes its object of the invention, and the technical solution adopted is, a kind of transmission line icing prediction method based on Informer attention learning, and its steps are as follows:

[0055] (1) Data preprocessing

[0056] Process historical icing data, terminal pull data, weather station forecast data, weather station monitoring data, terminal information and other data, perform outlier processing and fill in missing values, and construct a multivariate sequence data set related to pull: This data set takes the pulling force value as the prediction object, and takes date, temperature, humidity, temperature, pulling force value and other icing influencing factors as the characteristic input. Let the length of the input history sequence be L x , the forward prediction length is p, the number of icing-related influencing variables is i, and the predicted pull value is f t , the preprocessed dataset dataset is expressed as follows: ...

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Abstract

The invention discloses an Informer model-based power transmission line icing prediction method. The method comprises the following steps: collecting data of historical icing, terminal tension, weather station prediction, weather station monitoring, and terminal information, and preprocessing the data; constructing a training set Dtrain, a verification set Dvail and a test set Dtest; performing input unified conversion; generating an encoder; stacking Decoders to better obtain a mapping relation between input and output, and to improve the prediction precision; through a full connection layer, obtaining a final output; performing model iteration until a training condition is terminated, and generating a trained model for predicting a tension value of a power transmission cable at a future moment and through the tension value calculating the icing thickness of the current power transmission cable. The technical problems of low accuracy, low robustness, poor adaptability and the like of a power transmission line icing prediction method in the prior art are solved.

Description

technical field [0001] The invention belongs to the technical field of power grid icing prediction, and in particular relates to an Informer model-based power transmission line icing prediction method. Background technique [0002] In recent years, with the rapid development of power system and power grid construction, the distribution of power grids has gradually developed in the direction of large-scale and intelligent, and the reliability requirements for power grids are also getting higher and higher. As one of the most common disasters affecting the power system, icing often leads to an increase in the load of the transmission line, which in turn causes problems such as line disconnection, ice flash tripping, and damage to transmission line components. Icing disasters have seriously threatened the stable and reliable operation of the power grid system, brought huge economic losses, and seriously restricted the construction and development of the power grid system. Pred...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06K9/62G06N3/04G06N3/063G06N3/08
CPCG06Q10/04G06N3/063G06N3/08G06N3/045G06F18/214
Inventor 吴建蓉文屹何锦强廖永力龚博黄增浩黄军凯范强杜昊代吉玉蕾邱实王冕
Owner GUIZHOU POWER GRID CO LTD
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